X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=src%2Flanguage%2Fstats%2Ffrequencies.q;h=ef36f139d59b971403ad9d43557df81db145c5e0;hb=3c9825c825998664d992841d851e23a0adf8af6e;hp=5f0e96e9e1eeb3e7c6e24a6b8fba8bd211138576;hpb=92c09e564002d356d20fc1e2e131027ef89f6748;p=pspp diff --git a/src/language/stats/frequencies.q b/src/language/stats/frequencies.q index 5f0e96e9e1..ef36f139d5 100644 --- a/src/language/stats/frequencies.q +++ b/src/language/stats/frequencies.q @@ -1,26 +1,18 @@ -/* PSPP - computes sample statistics. - Copyright (C) 1997-9, 2000 Free Software Foundation, Inc. +/* PSPP - a program for statistical analysis. + Copyright (C) 1997-9, 2000, 2007, 2009, 2010 Free Software Foundation, Inc. - This program is free software; you can redistribute it and/or - modify it under the terms of the GNU General Public License as - published by the Free Software Foundation; either version 2 of the - License, or (at your option) any later version. + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. - This program is distributed in the hope that it will be useful, but - WITHOUT ANY WARRANTY; without even the implied warranty of - MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU - General Public License for more details. + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. You should have received a copy of the GNU General Public License - along with this program; if not, write to the Free Software - Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA - 02110-1301, USA. */ - -/* - TODO: - - * Remember that histograms, bar charts need mean, stddev. -*/ + along with this program. If not, see . */ #include @@ -28,40 +20,36 @@ #include #include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include - -#include "freq.h" - -#include "minmax.h" +#include "data/case.h" +#include "data/casegrouper.h" +#include "data/casereader.h" +#include "data/dictionary.h" +#include "data/format.h" +#include "data/procedure.h" +#include "data/settings.h" +#include "data/value-labels.h" +#include "data/variable.h" +#include "language/command.h" +#include "language/dictionary/split-file.h" +#include "language/lexer/lexer.h" +#include "language/stats/freq.h" +#include "libpspp/array.h" +#include "libpspp/bit-vector.h" +#include "libpspp/compiler.h" +#include "libpspp/hmap.h" +#include "libpspp/message.h" +#include "libpspp/misc.h" +#include "libpspp/pool.h" +#include "libpspp/str.h" +#include "math/histogram.h" +#include "math/moments.h" +#include "output/chart-item.h" +#include "output/charts/piechart.h" +#include "output/charts/plot-hist.h" +#include "output/tab.h" + +#include "gl/minmax.h" +#include "gl/xalloc.h" #include "gettext.h" #define _(msgid) gettext (msgid) @@ -72,35 +60,26 @@ /* (specification) FREQUENCIES (frq_): *+variables=custom; - +format=cond:condense/onepage(*n:onepage_limit,"%s>=0")/!standard, - table:limit(n:limit,"%s>0")/notable/!table, - labels:!labels/nolabels, - sort:!avalue/dvalue/afreq/dfreq, - spaces:!single/double, - paging:newpage/!oldpage; + +format=table:limit(n:limit,"%s>0")/notable/!table, + sort:!avalue/dvalue/afreq/dfreq; missing=miss:include/!exclude; barchart(ba_)=:minimum(d:min), :maximum(d:max), scale:freq(*n:freq,"%s>0")/percent(*n:pcnt,"%s>0"); piechart(pie_)=:minimum(d:min), :maximum(d:max), - missing:missing/!nomissing; + missing:missing/!nomissing, + scale:!freq/percent; histogram(hi_)=:minimum(d:min), :maximum(d:max), scale:freq(*n:freq,"%s>0")/percent(*n:pcnt,"%s>0"), - norm:!nonormal/normal, - incr:increment(d:inc,"%s>0"); - hbar(hb_)=:minimum(d:min), - :maximum(d:max), - scale:freq(*n:freq,"%s>0")/percent(*n:pcnt,"%s>0"), - norm:!nonormal/normal, - incr:increment(d:inc,"%s>0"); + norm:!nonormal/normal; +grouped=custom; +ntiles=integer; +percentiles = double list; - +statistics[st_]=1|mean,2|semean,3|median,4|mode,5|stddev,6|variance, - 7|kurtosis,8|skewness,9|range,10|minimum,11|maximum,12|sum, - 13|default,14|seskewness,15|sekurtosis,all,none. + +statistics[st_]=mean,semean,median,mode,stddev,variance, + kurtosis,skewness,range,minimum,maximum,sum, + default,seskewness,sekurtosis,all,none. */ /* (declarations) */ /* (functions) */ @@ -148,17 +127,16 @@ struct percentile double value; /* the %ile's value */ double x1; /* The datum value <= the percentile */ double x2; /* The datum value >= the percentile */ - int flag; + int flag; int flag2; /* Set to 1 if this percentile value has been found */ + bool show; /* True to show this percentile in the statistics box. */ }; -static void add_percentile (double x) ; +static void add_percentile (double x, bool show); static struct percentile *percentiles; -static int n_percentiles; - -static int implicit_50th ; +static int n_percentiles, n_show_percentiles; /* Groups of statistics. */ #define BI BIT_INDEX @@ -175,63 +153,45 @@ static int implicit_50th ; static unsigned long stats; static int n_stats; -/* Types of graphs. */ -enum +struct frq_chart { - GFT_NONE, /* Don't draw graphs. */ - GFT_BAR, /* Draw bar charts. */ - GFT_HIST, /* Draw histograms. */ - GFT_PIE, /* Draw piechart */ - GFT_HBAR /* Draw bar charts or histograms at our discretion. */ + double x_min; /* X axis minimum value. */ + double x_max; /* X axis maximum value. */ + int y_scale; /* Y axis scale: FRQ_FREQ or FRQ_PERCENT. */ + + /* Histograms only. */ + double y_max; /* Y axis maximum value. */ + bool draw_normal; /* Whether to draw normal curve. */ + + /* Pie charts only. */ + bool include_missing; /* Whether to include missing values. */ }; +/* Histogram and pie chart settings. */ +static struct frq_chart hist, pie; + /* Parsed command. */ static struct cmd_frequencies cmd; -/* Summary of the barchart, histogram, and hbar subcommands. */ -/* FIXME: These should not be mututally exclusive */ -static int chart; /* NONE/BAR/HIST/HBAR/PIE. */ -static double min, max; /* Minimum, maximum on y axis. */ -static int format; /* FREQ/PERCENT: Scaling of y axis. */ -static double scale, incr; /* FIXME */ -static int normal; /* FIXME */ - /* Variables for which to calculate statistics. */ static size_t n_variables; static const struct variable **v_variables; -/* Arenas used to store semi-permanent storage. */ -static struct pool *int_pool; /* Integer mode. */ -static struct pool *gen_pool; /* General mode. */ +/* Pools. */ +static struct pool *data_pool; /* For per-SPLIT FILE group data. */ +static struct pool *syntax_pool; /* For syntax-related data. */ /* Frequency tables. */ -/* Types of frequency tables. */ -enum - { - FRQM_GENERAL, - FRQM_INTEGER - }; - /* Entire frequency table. */ struct freq_tab { - int mode; /* FRQM_GENERAL or FRQM_INTEGER. */ - - /* General mode. */ - struct hsh_table *data; /* Undifferentiated data. */ - - /* Integer mode. */ - double *vector; /* Frequencies proper. */ - int min, max; /* The boundaries of the table. */ - double out_of_range; /* Sum of weights of out-of-range values. */ - double sysmis; /* Sum of weights of SYSMIS values. */ - - /* All modes. */ + struct hmap data; /* Hash table for accumulating counts. */ struct freq *valid; /* Valid freqs. */ int n_valid; /* Number of total freqs. */ + const struct dictionary *dict; /* Source of entries in the table. */ - struct freq *missing; /* Missing freqs. */ + struct freq *missing; /* Missing freqs. */ int n_missing; /* Number of missing freqs. */ /* Statistics. */ @@ -239,7 +199,6 @@ struct freq_tab double valid_cases; /* Sum of weights of valid cases. */ }; - /* Per-variable frequency data. */ struct var_freqs { @@ -253,11 +212,7 @@ struct var_freqs /* Statistics. */ double stat[frq_n_stats]; - /* Width and format for analysis and display. - This is normally the same as "width" and "print" in struct - variable, but in SPSS-compatible mode only the first - MAX_SHORT_STRING bytes of long string variables are - included. */ + /* Variable attributes. */ int width; struct fmt_spec print; }; @@ -274,24 +229,23 @@ static void calc_stats (const struct variable *v, double d[frq_n_stats]); static void precalc (struct casereader *, struct dataset *); static void calc (const struct ccase *, const struct dataset *); -static void postcalc (void); +static void postcalc (const struct dataset *); static void postprocess_freq_tab (const struct variable *); -static void dump_full (const struct variable *); -static void dump_condensed (const struct variable *); -static void dump_statistics (const struct variable *, int show_varname); +static void dump_freq_table (const struct variable *, const struct variable *); +static void dump_statistics (const struct variable *, const struct variable *); static void cleanup_freq_tab (const struct variable *); -static hsh_compare_func compare_value_numeric_a, compare_value_alpha_a; -static hsh_compare_func compare_value_numeric_d, compare_value_alpha_d; -static hsh_compare_func compare_freq_numeric_a, compare_freq_alpha_a; -static hsh_compare_func compare_freq_numeric_d, compare_freq_alpha_d; +static algo_compare_func compare_value_numeric_a, compare_value_alpha_a; +static algo_compare_func compare_value_numeric_d, compare_value_alpha_d; +static algo_compare_func compare_freq_numeric_a, compare_freq_alpha_a; +static algo_compare_func compare_freq_numeric_d, compare_freq_alpha_d; static void do_piechart(const struct variable *var, const struct freq_tab *frq_tab); -gsl_histogram * +struct histogram * freq_tab_to_hist(const struct freq_tab *ft, const struct variable *var); @@ -305,12 +259,12 @@ cmd_frequencies (struct lexer *lexer, struct dataset *ds) { int result; - int_pool = pool_create (); + syntax_pool = pool_create (); result = internal_cmd_frequencies (lexer, ds); - pool_destroy (int_pool); - int_pool=0; - pool_destroy (gen_pool); - gen_pool=0; + pool_destroy (syntax_pool); + syntax_pool=0; + pool_destroy (data_pool); + data_pool=0; free (v_variables); v_variables=0; return result; @@ -325,6 +279,7 @@ internal_cmd_frequencies (struct lexer *lexer, struct dataset *ds) int i; n_percentiles = 0; + n_show_percentiles = 0; percentiles = NULL; n_variables = 0; @@ -333,9 +288,6 @@ internal_cmd_frequencies (struct lexer *lexer, struct dataset *ds) if (!parse_frequencies (lexer, ds, &cmd, NULL)) return CMD_FAILURE; - if (cmd.onepage_limit == NOT_LONG) - cmd.onepage_limit = 50; - /* Figure out statistics to calculate. */ stats = 0; if (cmd.a_statistics[FRQ_ST_DEFAULT] || !cmd.sbc_statistics) @@ -343,14 +295,14 @@ internal_cmd_frequencies (struct lexer *lexer, struct dataset *ds) if (cmd.a_statistics[FRQ_ST_ALL]) stats |= frq_all; if (cmd.sort != FRQ_AVALUE && cmd.sort != FRQ_DVALUE) - stats &= ~frq_median; + stats &= ~BIT_INDEX (frq_median); for (i = 0; i < frq_n_stats; i++) if (cmd.a_statistics[st_name[i].st_indx]) stats |= BIT_INDEX (i); if (stats & frq_kurt) - stats |= frq_sekurt; + stats |= BIT_INDEX (frq_sekurt); if (stats & frq_skew) - stats |= frq_seskew; + stats |= BIT_INDEX (frq_seskew); /* Calculate n_stats. */ n_stats = 0; @@ -360,44 +312,56 @@ internal_cmd_frequencies (struct lexer *lexer, struct dataset *ds) /* Charting. */ determine_charts (); - if (chart != GFT_NONE || cmd.sbc_ntiles) + if (cmd.sbc_histogram || cmd.sbc_piechart || cmd.sbc_ntiles) cmd.sort = FRQ_AVALUE; /* Work out what percentiles need to be calculated */ - if ( cmd.sbc_percentiles ) + if ( cmd.sbc_percentiles ) { - for ( i = 0 ; i < MAXLISTS ; ++i ) + for ( i = 0 ; i < MAXLISTS ; ++i ) { int pl; subc_list_double *ptl_list = &cmd.dl_percentiles[i]; for ( pl = 0 ; pl < subc_list_double_count(ptl_list); ++pl) - add_percentile (subc_list_double_at(ptl_list, pl) / 100.0 ); + add_percentile (subc_list_double_at(ptl_list, pl) / 100.0, true); } } - if ( cmd.sbc_ntiles ) + if ( cmd.sbc_ntiles ) { - for ( i = 0 ; i < cmd.sbc_ntiles ; ++i ) + for ( i = 0 ; i < cmd.sbc_ntiles ; ++i ) { int j; - for (j = 0; j <= cmd.n_ntiles[i]; ++j ) - add_percentile (j / (double) cmd.n_ntiles[i]); + for (j = 0; j <= cmd.n_ntiles[i]; ++j ) + add_percentile (j / (double) cmd.n_ntiles[i], true); } } - + if (stats & BIT_INDEX (frq_median)) + { + /* Treat the median as the 50% percentile. + We output it in the percentiles table as "50 (Median)." */ + add_percentile (0.5, true); + stats &= ~BIT_INDEX (frq_median); + n_stats--; + } + if (cmd.sbc_histogram) + { + add_percentile (0.25, false); + add_percentile (0.75, false); + } /* Do it! */ input = casereader_create_filter_weight (proc_open (ds), dataset_dict (ds), NULL, NULL); grouper = casegrouper_create_splits (input, dataset_dict (ds)); for (; casegrouper_get_next_group (grouper, &group); - casereader_destroy (group)) + casereader_destroy (group)) { - struct ccase c; - + struct ccase *c; + precalc (group, ds); - for (; casereader_read (group, &c); case_destroy (&c)) - calc (&c, ds); - postcalc (); + for (; (c = casereader_read (group)) != NULL; case_unref (c)) + calc (c, ds); + postcalc (ds); } ok = casegrouper_destroy (grouper); ok = proc_commit (ds) && ok; @@ -411,105 +375,45 @@ internal_cmd_frequencies (struct lexer *lexer, struct dataset *ds) static void determine_charts (void) { - int count = (!!cmd.sbc_histogram) + (!!cmd.sbc_barchart) + - (!!cmd.sbc_hbar) + (!!cmd.sbc_piechart); - - if (!count) - { - chart = GFT_NONE; - return; - } - else if (count > 1) - { - chart = GFT_HBAR; - msg (SW, _("At most one of BARCHART, HISTOGRAM, or HBAR should be " - "given. HBAR will be assumed. Argument values will be " - "given precedence increasing along the order given.")); - } - else if (cmd.sbc_histogram) - chart = GFT_HIST; - else if (cmd.sbc_barchart) - chart = GFT_BAR; - else if (cmd.sbc_piechart) - chart = GFT_PIE; - else - chart = GFT_HBAR; - - min = max = SYSMIS; - format = FRQ_FREQ; - scale = SYSMIS; - incr = SYSMIS; - normal = 0; - if (cmd.sbc_barchart) - { - if (cmd.ba_min != SYSMIS) - min = cmd.ba_min; - if (cmd.ba_max != SYSMIS) - max = cmd.ba_max; - if (cmd.ba_scale == FRQ_FREQ) - { - format = FRQ_FREQ; - scale = cmd.ba_freq; - } - else if (cmd.ba_scale == FRQ_PERCENT) - { - format = FRQ_PERCENT; - scale = cmd.ba_pcnt; - } - } + msg (SW, _("Bar charts are not implemented.")); if (cmd.sbc_histogram) { - if (cmd.hi_min != SYSMIS) - min = cmd.hi_min; - if (cmd.hi_max != SYSMIS) - max = cmd.hi_max; - if (cmd.hi_scale == FRQ_FREQ) - { - format = FRQ_FREQ; - scale = cmd.hi_freq; - } - else if (cmd.hi_scale == FRQ_PERCENT) - { - format = FRQ_PERCENT; - scale = cmd.ba_pcnt; - } - if (cmd.hi_norm != FRQ_NONORMAL ) - normal = 1; - if (cmd.hi_incr == FRQ_INCREMENT) - incr = cmd.hi_inc; + hist.x_min = cmd.hi_min; + hist.x_max = cmd.hi_max; + hist.y_scale = cmd.hi_scale; + hist.y_max = cmd.hi_scale == FRQ_FREQ ? cmd.hi_freq : cmd.hi_pcnt; + hist.draw_normal = cmd.hi_norm != FRQ_NONORMAL; + hist.include_missing = false; + + if (hist.x_min != SYSMIS && hist.x_max != SYSMIS + && hist.x_min >= hist.x_max) + { + msg (SE, _("MAX for histogram must be greater than or equal to MIN, " + "but MIN was specified as %.15g and MAX as %.15g. " + "MIN and MAX will be ignored."), hist.x_min, hist.x_max); + hist.x_min = hist.x_max = SYSMIS; + } } - if (cmd.sbc_hbar) + if (cmd.sbc_piechart) { - if (cmd.hb_min != SYSMIS) - min = cmd.hb_min; - if (cmd.hb_max != SYSMIS) - max = cmd.hb_max; - if (cmd.hb_scale == FRQ_FREQ) - { - format = FRQ_FREQ; - scale = cmd.hb_freq; - } - else if (cmd.hb_scale == FRQ_PERCENT) - { - format = FRQ_PERCENT; - scale = cmd.ba_pcnt; - } - if (cmd.hb_norm) - normal = 1; - if (cmd.hb_incr == FRQ_INCREMENT) - incr = cmd.hb_inc; - } + pie.x_min = cmd.pie_min; + pie.x_max = cmd.pie_max; + pie.y_scale = cmd.pie_scale; + pie.include_missing = cmd.pie_missing == FRQ_MISSING; - if (min != SYSMIS && max != SYSMIS && min >= max) - { - msg (SE, _("MAX must be greater than or equal to MIN, if both are " - "specified. However, MIN was specified as %g and MAX as %g. " - "MIN and MAX will be ignored."), min, max); - min = max = SYSMIS; + if (pie.x_min != SYSMIS && pie.x_max != SYSMIS + && pie.x_min >= pie.x_max) + { + msg (SE, _("MAX for pie chart must be greater than or equal to MIN, " + "but MIN was specified as %.15g and MAX as %.15g. " + "MIN and MAX will be ignored."), pie.x_min, pie.x_max); + pie.x_min = pie.x_max = SYSMIS; + } } + } /* Add data from case C to the frequency table. */ @@ -521,51 +425,20 @@ calc (const struct ccase *c, const struct dataset *ds) for (i = 0; i < n_variables; i++) { - const struct variable *v = v_variables[i]; - const union value *val = case_data (c, v); - struct var_freqs *vf = get_var_freqs (v); - struct freq_tab *ft = &vf->tab; + const struct variable *var = v_variables[i]; + int width = var_get_width (var); - switch (ft->mode) - { - case FRQM_GENERAL: - { - /* General mode. */ - struct freq target; - struct freq **fpp; - - target.value = (union value *) val; - fpp = (struct freq **) hsh_probe (ft->data, &target); - - if (*fpp != NULL) - (*fpp)->count += weight; - else - { - struct freq *fp = pool_alloc (gen_pool, sizeof *fp); - fp->count = weight; - fp->value = pool_clone (gen_pool, - val, - MAX (MAX_SHORT_STRING, vf->width)); - *fpp = fp; - } - } - break; - case FRQM_INTEGER: - /* Integer mode. */ - if (val->f == SYSMIS) - ft->sysmis += weight; - else if (val->f > INT_MIN+1 && val->f < INT_MAX-1) - { - int i = val->f; - if (i >= ft->min && i <= ft->max) - ft->vector[i - ft->min] += weight; - } - else - ft->out_of_range += weight; - break; - default: - NOT_REACHED (); - } + const union value *value = case_data (c, var); + size_t hash = value_hash (value, width, 0); + + struct hmap *hmap = &get_var_freqs (var)->tab.data; + struct freq *f; + + f = freq_hmap_search (hmap, value, width, hash); + if (f == NULL) + f = freq_hmap_insert (hmap, value, width, hash); + + f->count += weight; } } @@ -574,43 +447,35 @@ calc (const struct ccase *c, const struct dataset *ds) static void precalc (struct casereader *input, struct dataset *ds) { - struct ccase c; + struct ccase *c; size_t i; - if (!casereader_peek (input, 0, &c)) - return; - output_split_file_values (ds, &c); - case_destroy (&c); + c = casereader_peek (input, 0); + if (c != NULL) + { + output_split_file_values (ds, c); + case_unref (c); + } + + pool_destroy (data_pool); + data_pool = pool_create (); - pool_destroy (gen_pool); - gen_pool = pool_create (); - for (i = 0; i < n_variables; i++) { const struct variable *v = v_variables[i]; struct freq_tab *ft = &get_var_freqs (v)->tab; - if (ft->mode == FRQM_GENERAL) - { - ft->data = hsh_create (16, compare_freq, hash_freq, NULL, v); - } - else - { - int j; - - for (j = (ft->max - ft->min); j >= 0; j--) - ft->vector[j] = 0.0; - ft->out_of_range = 0.0; - ft->sysmis = 0.0; - } + hmap_init (&ft->data); } } /* Finishes up with the variables after frequencies have been calculated. Displays statistics, percentiles, ... */ static void -postcalc (void) +postcalc (const struct dataset *ds) { + const struct dictionary *dict = dataset_dict (ds); + const struct variable *wv = dict_get_weight (dict); size_t i; for (i = 0; i < n_variables; i++) @@ -619,67 +484,40 @@ postcalc (void) struct var_freqs *vf = get_var_freqs (v); struct freq_tab *ft = &vf->tab; int n_categories; - int dumped_freq_tab = 1; postprocess_freq_tab (v); /* Frequencies tables. */ n_categories = ft->n_valid + ft->n_missing; - if (cmd.table == FRQ_TABLE - || (cmd.table == FRQ_LIMIT && n_categories <= cmd.limit)) - switch (cmd.cond) - { - case FRQ_CONDENSE: - dump_condensed (v); - break; - case FRQ_STANDARD: - dump_full (v); - break; - case FRQ_ONEPAGE: - if (n_categories > cmd.onepage_limit) - dump_condensed (v); - else - dump_full (v); - break; - default: - NOT_REACHED (); - } - else - dumped_freq_tab = 0; + if (cmd.table == FRQ_TABLE + || (cmd.table == FRQ_LIMIT && n_categories <= cmd.limit)) + dump_freq_table (v, wv); /* Statistics. */ if (n_stats) - dump_statistics (v, !dumped_freq_tab); - + dump_statistics (v, wv); - - if ( chart == GFT_HIST) + if (cmd.sbc_histogram && var_is_numeric (v) && ft->n_valid > 0) { double d[frq_n_stats]; - struct normal_curve norm; - gsl_histogram *hist ; - - - norm.N = vf->tab.valid_cases; + struct histogram *histogram; calc_stats (v, d); - norm.mean = d[frq_mean]; - norm.stddev = d[frq_stddev]; - hist = freq_tab_to_hist(ft,v); + histogram = freq_tab_to_hist (ft, v); - histogram_plot(hist, var_to_string(v), &norm, normal); + chart_item_submit (histogram_chart_create ( + histogram->gsl_hist, var_to_string(v), + vf->tab.valid_cases, + d[frq_mean], + d[frq_stddev], + hist.draw_normal)); - gsl_histogram_free(hist); + statistic_destroy (&histogram->parent); } - - if ( chart == GFT_PIE) - { - do_piechart(v_variables[i], ft); - } - - + if (cmd.sbc_piechart) + do_piechart(v_variables[i], ft); cleanup_freq_tab (v); @@ -687,12 +525,12 @@ postcalc (void) } /* Returns the comparison function that should be used for - sorting a frequency table by FRQ_SORT using VAR_TYPE - variables. */ -static hsh_compare_func * -get_freq_comparator (int frq_sort, enum var_type var_type) + sorting a frequency table by FRQ_SORT using VAL_TYPE + values. */ +static algo_compare_func * +get_freq_comparator (int frq_sort, enum val_type val_type) { - bool is_numeric = var_type == VAR_NUMERIC; + bool is_numeric = val_type == VAL_NUMERIC; switch (frq_sort) { case FRQ_AVALUE: @@ -711,40 +549,30 @@ get_freq_comparator (int frq_sort, enum var_type var_type) /* Returns true iff the value in struct freq F is non-missing for variable V. */ static bool -not_missing (const void *f_, const void *v_) +not_missing (const void *f_, const void *v_) { const struct freq *f = f_; const struct variable *v = v_; - return !var_is_value_missing (v, f->value, MV_ANY); + return !var_is_value_missing (v, &f->value, MV_ANY); } /* Summarizes the frequency table data for variable V. */ static void postprocess_freq_tab (const struct variable *v) { - hsh_compare_func *compare; + algo_compare_func *compare; struct freq_tab *ft; size_t count; - void *const *data; struct freq *freqs, *f; size_t i; ft = &get_var_freqs (v)->tab; - assert (ft->mode == FRQM_GENERAL); compare = get_freq_comparator (cmd.sort, var_get_type (v)); /* Extract data from hash table. */ - count = hsh_count (ft->data); - data = hsh_data (ft->data); - - /* Copy dereferenced data into freqs. */ - freqs = xnmalloc (count, sizeof *freqs); - for (i = 0; i < count; i++) - { - struct freq *f = data[i]; - freqs[i] = *f; - } + count = hmap_count (&ft->data); + freqs = freq_hmap_extract (&ft->data); /* Put data into ft. */ ft->valid = freqs; @@ -758,15 +586,15 @@ postprocess_freq_tab (const struct variable *v) /* Summary statistics. */ ft->valid_cases = 0.0; - for(i = 0 ; i < ft->n_valid ; ++i ) + for(i = 0 ; i < ft->n_valid ; ++i ) { f = &ft->valid[i]; ft->valid_cases += f->count; } - ft->total_cases = ft->valid_cases ; - for(i = 0 ; i < ft->n_missing ; ++i ) + ft->total_cases = ft->valid_cases ; + for(i = 0 ; i < ft->n_missing ; ++i ) { f = &ft->missing[i]; ft->total_cases += f->count; @@ -778,10 +606,9 @@ postprocess_freq_tab (const struct variable *v) static void cleanup_freq_tab (const struct variable *v) { - struct freq_tab *ft = &get_var_freqs (v)->tab; - assert (ft->mode == FRQM_GENERAL); - free (ft->valid); - hsh_destroy (ft->data); + struct var_freqs *vf = get_var_freqs (v); + free (vf->tab.valid); + freq_hmap_destroy (&vf->tab.data, vf->width); } /* Parses the VARIABLES subcommand, adding to @@ -789,9 +616,6 @@ cleanup_freq_tab (const struct variable *v) static int frq_custom_variables (struct lexer *lexer, struct dataset *ds, struct cmd_frequencies *cmd UNUSED, void *aux UNUSED) { - int mode; - int min = 0, max = 0; - size_t old_n_variables = n_variables; size_t i; @@ -804,31 +628,6 @@ frq_custom_variables (struct lexer *lexer, struct dataset *ds, struct cmd_freque PV_APPEND | PV_NO_SCRATCH)) return 0; - if (!lex_match (lexer, '(')) - mode = FRQM_GENERAL; - else - { - mode = FRQM_INTEGER; - if (!lex_force_int (lexer)) - return 0; - min = lex_integer (lexer); - lex_get (lexer); - if (!lex_force_match (lexer, ',')) - return 0; - if (!lex_force_int (lexer)) - return 0; - max = lex_integer (lexer); - lex_get (lexer); - if (!lex_force_match (lexer, ')')) - return 0; - if (max < min) - { - msg (SE, _("Upper limit of integer mode value range must be " - "greater than lower limit.")); - return 0; - } - } - for (i = old_n_variables; i < n_variables; i++) { const struct variable *v = v_variables[i]; @@ -840,35 +639,13 @@ frq_custom_variables (struct lexer *lexer, struct dataset *ds, struct cmd_freque "subcommand."), var_get_name (v)); return 0; } - if (mode == FRQM_INTEGER && !var_is_numeric (v)) - { - msg (SE, _("Integer mode specified, but %s is not a numeric " - "variable."), var_get_name (v)); - return 0; - } - vf = var_attach_aux (v, xmalloc (sizeof *vf), var_dtor_free); - vf->tab.mode = mode; vf->tab.valid = vf->tab.missing = NULL; - if (mode == FRQM_INTEGER) - { - vf->tab.min = min; - vf->tab.max = max; - vf->tab.vector = pool_nalloc (int_pool, - max - min + 1, sizeof *vf->tab.vector); - } - else - vf->tab.vector = NULL; + vf->tab.dict = dataset_dict (ds); vf->n_groups = 0; vf->groups = NULL; vf->width = var_get_width (v); vf->print = *var_get_print_format (v); - if (vf->width > MAX_SHORT_STRING && get_algorithm () == COMPATIBLE) - { - enum fmt_type type = var_get_print_format (v)->type; - vf->width = MAX_SHORT_STRING; - vf->print.w = MAX_SHORT_STRING * (type == FMT_AHEX ? 2 : 1); - } } return 1; } @@ -905,7 +682,7 @@ frq_custom_grouped (struct lexer *lexer, struct dataset *ds, struct cmd_frequenc if (nl >= ml) { ml += 16; - dl = pool_nrealloc (int_pool, dl, ml, sizeof *dl); + dl = pool_nrealloc (syntax_pool, dl, ml, sizeof *dl); } dl[nl++] = lex_tokval (lexer); lex_get (lexer); @@ -920,7 +697,7 @@ frq_custom_grouped (struct lexer *lexer, struct dataset *ds, struct cmd_frequenc return 0; } } - else + else { nl = 0; dl = NULL; @@ -930,10 +707,10 @@ frq_custom_grouped (struct lexer *lexer, struct dataset *ds, struct cmd_frequenc if (var_get_aux (v[i]) == NULL) msg (SE, _("Variables %s specified on GROUPED but not on " "VARIABLES."), var_get_name (v[i])); - else + else { struct var_freqs *vf = get_var_freqs (v[i]); - + if (vf->groups != NULL) msg (SE, _("Variables %s specified multiple times on GROUPED " "subcommand."), var_get_name (v[i])); @@ -958,17 +735,25 @@ frq_custom_grouped (struct lexer *lexer, struct dataset *ds, struct cmd_frequenc } /* Adds X to the list of percentiles, keeping the list in proper - order. */ + order. If SHOW is true, the percentile will be shown in the statistics + box, otherwise it will be hidden. */ static void -add_percentile (double x) +add_percentile (double x, bool show) { int i; for (i = 0; i < n_percentiles; i++) { /* Do nothing if it's already in the list */ - if ( fabs(x - percentiles[i].p) < DBL_EPSILON ) - return; + if ( fabs(x - percentiles[i].p) < DBL_EPSILON ) + { + if (show && !percentiles[i].show) + { + n_show_percentiles++; + percentiles[i].show = true; + } + return; + } if (x < percentiles[i].p) break; @@ -976,15 +761,14 @@ add_percentile (double x) if (i >= n_percentiles || x != percentiles[i].p) { - percentiles = pool_nrealloc (int_pool, percentiles, + percentiles = pool_nrealloc (syntax_pool, percentiles, n_percentiles + 1, sizeof *percentiles); - - if (i < n_percentiles) - memmove (&percentiles[i + 1], &percentiles[i], - (n_percentiles - i) * sizeof (struct percentile) ); - + insert_element (percentiles, n_percentiles, sizeof *percentiles, i); percentiles[i].p = x; + percentiles[i].show = show; n_percentiles++; + if (show) + n_show_percentiles++; } } @@ -997,9 +781,9 @@ compare_value_numeric_a (const void *a_, const void *b_, const void *aux UNUSED) const struct freq *a = a_; const struct freq *b = b_; - if (a->value[0].f > b->value[0].f) + if (a->value.f > b->value.f) return 1; - else if (a->value[0].f < b->value[0].f) + else if (a->value.f < b->value.f) return -1; else return 0; @@ -1014,7 +798,7 @@ compare_value_alpha_a (const void *a_, const void *b_, const void *v_) const struct variable *v = v_; struct var_freqs *vf = get_var_freqs (v); - return memcmp (a->value[0].s, b->value[0].s, vf->width); + return value_compare_3way (&a->value, &b->value, vf->width); } /* Descending numeric compare of values. */ @@ -1044,9 +828,9 @@ compare_freq_numeric_a (const void *a_, const void *b_, const void *aux UNUSED) else if (a->count < b->count) return -1; - if (a->value[0].f > b->value[0].f) + if (a->value.f > b->value.f) return 1; - else if (a->value[0].f < b->value[0].f) + else if (a->value.f < b->value.f) return -1; else return 0; @@ -1067,7 +851,7 @@ compare_freq_alpha_a (const void *a_, const void *b_, const void *v_) else if (a->count < b->count) return -1; else - return memcmp (a->value[0].s, b->value[0].s, vf->width); + return value_compare_3way (&a->value, &b->value, vf->width); } /* Descending numeric compare of frequency; @@ -1083,9 +867,9 @@ compare_freq_numeric_d (const void *a_, const void *b_, const void *aux UNUSED) else if (a->count < b->count) return 1; - if (a->value[0].f > b->value[0].f) + if (a->value.f > b->value.f) return 1; - else if (a->value[0].f < b->value[0].f) + else if (a->value.f < b->value.f) return -1; else return 0; @@ -1106,89 +890,47 @@ compare_freq_alpha_d (const void *a_, const void *b_, const void *v_) else if (a->count < b->count) return 1; else - return memcmp (a->value[0].s, b->value[0].s, vf->width); + return value_compare_3way (&a->value, &b->value, vf->width); } /* Frequency table display. */ -/* Sets the widths of all the columns and heights of all the rows in - table T for driver D. */ -static void -full_dim (struct tab_table *t, struct outp_driver *d) -{ - int i = 0; - int columns = 5; - - if (cmd.labels == FRQ_LABELS) - { - t->w[0] = MIN (tab_natural_width (t, d, 0), d->prop_em_width * 15); - i = 1; - columns ++; - } - - for (;i < columns; i++) - t->w[i] = MAX (tab_natural_width (t, d, i), d->prop_em_width * 8); - - for (i = 0; i < t->nr; i++) - t->h[i] = d->font_height; -} - /* Displays a full frequency table for variable V. */ static void -dump_full (const struct variable *v) +dump_freq_table (const struct variable *v, const struct variable *wv) { + const struct fmt_spec *wfmt = wv ? var_get_print_format (wv) : &F_8_0; int n_categories; struct var_freqs *vf; struct freq_tab *ft; struct freq *f; struct tab_table *t; - int r; + int r, x; double cum_total = 0.0; double cum_freq = 0.0; - struct init - { - int c, r; - const char *s; - }; - - const struct init *p; - - static const struct init vec[] = - { - {4, 0, N_("Valid")}, - {5, 0, N_("Cum")}, - {1, 1, N_("Value")}, - {2, 1, N_("Frequency")}, - {3, 1, N_("Percent")}, - {4, 1, N_("Percent")}, - {5, 1, N_("Percent")}, - {0, 0, NULL}, - {1, 0, NULL}, - {2, 0, NULL}, - {3, 0, NULL}, - {-1, -1, NULL}, + static const char *headings[] = { + N_("Value Label"), + N_("Value"), + N_("Frequency"), + N_("Percent"), + N_("Valid Percent"), + N_("Cum Percent") }; - const bool lab = (cmd.labels == FRQ_LABELS); - vf = get_var_freqs (v); ft = &vf->tab; n_categories = ft->n_valid + ft->n_missing; - t = tab_create (5 + lab, n_categories + 3, 0); - tab_headers (t, 0, 0, 2, 0); - tab_dim (t, full_dim); - - if (lab) - tab_text (t, 0, 1, TAB_CENTER | TAT_TITLE, _("Value Label")); + t = tab_create (6, n_categories + 2); + tab_headers (t, 0, 0, 1, 0); - for (p = vec; p->s; p++) - tab_text (t, lab ? p->c : p->c - 1, p->r, - TAB_CENTER | TAT_TITLE, gettext (p->s)); + for (x = 0; x < 6; x++) + tab_text (t, x, 0, TAB_CENTER | TAT_TITLE, gettext (headings[x])); - r = 2; + r = 1; for (f = ft->valid; f < ft->missing; f++) { + const char *label; double percent, valid_percent; cum_freq += f->count; @@ -1197,170 +939,71 @@ dump_full (const struct variable *v) valid_percent = f->count / ft->valid_cases * 100.0; cum_total += valid_percent; - if (lab) - { - const char *label = var_lookup_value_label (v, &f->value[0]); - if (label != NULL) - tab_text (t, 0, r, TAB_LEFT, label); - } + label = var_lookup_value_label (v, &f->value); + if (label != NULL) + tab_text (t, 0, r, TAB_LEFT, label); - tab_value (t, 0 + lab, r, TAB_NONE, f->value, &vf->print); - tab_float (t, 1 + lab, r, TAB_NONE, f->count, 8, 0); - tab_float (t, 2 + lab, r, TAB_NONE, percent, 5, 1); - tab_float (t, 3 + lab, r, TAB_NONE, valid_percent, 5, 1); - tab_float (t, 4 + lab, r, TAB_NONE, cum_total, 5, 1); + tab_value (t, 1, r, TAB_NONE, &f->value, ft->dict, &vf->print); + tab_double (t, 2, r, TAB_NONE, f->count, wfmt); + tab_double (t, 3, r, TAB_NONE, percent, NULL); + tab_double (t, 4, r, TAB_NONE, valid_percent, NULL); + tab_double (t, 5, r, TAB_NONE, cum_total, NULL); r++; } for (; f < &ft->valid[n_categories]; f++) { + const char *label; + cum_freq += f->count; - if (lab) - { - const char *label = var_lookup_value_label (v, &f->value[0]); - if (label != NULL) - tab_text (t, 0, r, TAB_LEFT, label); - } + label = var_lookup_value_label (v, &f->value); + if (label != NULL) + tab_text (t, 0, r, TAB_LEFT, label); - tab_value (t, 0 + lab, r, TAB_NONE, f->value, &vf->print); - tab_float (t, 1 + lab, r, TAB_NONE, f->count, 8, 0); - tab_float (t, 2 + lab, r, TAB_NONE, - f->count / ft->total_cases * 100.0, 5, 1); - tab_text (t, 3 + lab, r, TAB_NONE, _("Missing")); + tab_value (t, 1, r, TAB_NONE, &f->value, ft->dict, &vf->print); + tab_double (t, 2, r, TAB_NONE, f->count, wfmt); + tab_double (t, 3, r, TAB_NONE, + f->count / ft->total_cases * 100.0, NULL); + tab_text (t, 4, r, TAB_NONE, _("Missing")); r++; } - tab_box (t, TAL_1, TAL_1, - cmd.spaces == FRQ_SINGLE ? -1 : TAL_GAP, TAL_1, - 0, 0, 4 + lab, r); - tab_hline (t, TAL_2, 0, 4 + lab, 2); - tab_hline (t, TAL_2, 0, 4 + lab, r); - tab_joint_text (t, 0, r, 0 + lab, r, TAB_RIGHT | TAT_TITLE, _("Total")); + tab_box (t, TAL_1, TAL_1, -1, TAL_1, 0, 0, 5, r); + tab_hline (t, TAL_2, 0, 5, 1); + tab_hline (t, TAL_2, 0, 5, r); + tab_joint_text (t, 0, r, 1, r, TAB_RIGHT | TAT_TITLE, _("Total")); tab_vline (t, TAL_0, 1, r, r); - tab_float (t, 1 + lab, r, TAB_NONE, cum_freq, 8, 0); - tab_float (t, 2 + lab, r, TAB_NONE, 100.0, 5, 1); - tab_float (t, 3 + lab, r, TAB_NONE, 100.0, 5, 1); + tab_double (t, 2, r, TAB_NONE, cum_freq, wfmt); + tab_fixed (t, 3, r, TAB_NONE, 100.0, 5, 1); + tab_fixed (t, 4, r, TAB_NONE, 100.0, 5, 1); tab_title (t, "%s", var_to_string (v)); tab_submit (t); } - -/* Sets the widths of all the columns and heights of all the rows in - table T for driver D. */ -static void -condensed_dim (struct tab_table *t, struct outp_driver *d) -{ - int cum_w = MAX (outp_string_width (d, _("Cum"), OUTP_PROPORTIONAL), - MAX (outp_string_width (d, _("Cum"), OUTP_PROPORTIONAL), - outp_string_width (d, "000", OUTP_PROPORTIONAL))); - - int i; - - for (i = 0; i < 2; i++) - t->w[i] = MAX (tab_natural_width (t, d, i), d->prop_em_width * 8); - for (i = 2; i < 4; i++) - t->w[i] = cum_w; - for (i = 0; i < t->nr; i++) - t->h[i] = d->font_height; -} - -/* Display condensed frequency table for variable V. */ -static void -dump_condensed (const struct variable *v) -{ - int n_categories; - struct var_freqs *vf; - struct freq_tab *ft; - struct freq *f; - struct tab_table *t; - int r; - double cum_total = 0.0; - - vf = get_var_freqs (v); - ft = &vf->tab; - n_categories = ft->n_valid + ft->n_missing; - t = tab_create (4, n_categories + 2, 0); - - tab_headers (t, 0, 0, 2, 0); - tab_text (t, 0, 1, TAB_CENTER | TAT_TITLE, _("Value")); - tab_text (t, 1, 1, TAB_CENTER | TAT_TITLE, _("Freq")); - tab_text (t, 2, 1, TAB_CENTER | TAT_TITLE, _("Pct")); - tab_text (t, 3, 0, TAB_CENTER | TAT_TITLE, _("Cum")); - tab_text (t, 3, 1, TAB_CENTER | TAT_TITLE, _("Pct")); - tab_dim (t, condensed_dim); - - r = 2; - for (f = ft->valid; f < ft->missing; f++) - { - double percent; - - percent = f->count / ft->total_cases * 100.0; - cum_total += f->count / ft->valid_cases * 100.0; - - tab_value (t, 0, r, TAB_NONE, f->value, &vf->print); - tab_float (t, 1, r, TAB_NONE, f->count, 8, 0); - tab_float (t, 2, r, TAB_NONE, percent, 3, 0); - tab_float (t, 3, r, TAB_NONE, cum_total, 3, 0); - r++; - } - for (; f < &ft->valid[n_categories]; f++) - { - tab_value (t, 0, r, TAB_NONE, f->value, &vf->print); - tab_float (t, 1, r, TAB_NONE, f->count, 8, 0); - tab_float (t, 2, r, TAB_NONE, - f->count / ft->total_cases * 100.0, 3, 0); - r++; - } - - tab_box (t, TAL_1, TAL_1, - cmd.spaces == FRQ_SINGLE ? -1 : TAL_GAP, TAL_1, - 0, 0, 3, r - 1); - tab_hline (t, TAL_2, 0, 3, 2); - tab_title (t, "%s", var_to_string (v)); - tab_columns (t, SOM_COL_DOWN, 1); - tab_submit (t); -} /* Statistical display. */ -/* Calculates all the pertinent statistics for variable V, putting - them in array D[]. FIXME: This could be made much more optimal. */ +/* Calculates all the pertinent statistics for variable V, putting them in + array D[]. */ static void calc_stats (const struct variable *v, double d[frq_n_stats]) { struct freq_tab *ft = &get_var_freqs (v)->tab; double W = ft->valid_cases; struct moments *m; - struct freq *f=0; + struct freq *f=0; int most_often; double X_mode; double rank; int i = 0; int idx; - double *median_value; /* Calculate percentiles. */ - /* If the 50th percentile was not explicitly requested then we must - calculate it anyway --- it's the median */ - median_value = 0 ; - for (i = 0; i < n_percentiles; i++) - { - if (percentiles[i].p == 0.5) - { - median_value = &percentiles[i].value; - break; - } - } - - if ( 0 == median_value ) - { - add_percentile (0.5); - implicit_50th = 1; - } + assert (ft->n_valid > 0); - for (i = 0; i < n_percentiles; i++) + for (i = 0; i < n_percentiles; i++) { percentiles[i].flag = 0; percentiles[i].flag2 = 0; @@ -1370,33 +1013,33 @@ calc_stats (const struct variable *v, double d[frq_n_stats]) for (idx = 0; idx < ft->n_valid; ++idx) { static double prev_value = SYSMIS; - f = &ft->valid[idx]; + f = &ft->valid[idx]; rank += f->count ; - for (i = 0; i < n_percentiles; i++) + for (i = 0; i < n_percentiles; i++) { double tp; - if ( percentiles[i].flag2 ) continue ; + if ( percentiles[i].flag2 ) continue ; - if ( get_algorithm() != COMPATIBLE ) - tp = + if ( settings_get_algorithm () != COMPATIBLE ) + tp = (ft->valid_cases - 1) * percentiles[i].p; else - tp = + tp = (ft->valid_cases + 1) * percentiles[i].p - 1; - if ( percentiles[i].flag ) + if ( percentiles[i].flag ) { - percentiles[i].x2 = f->value[0].f; + percentiles[i].x2 = f->value.f; percentiles[i].x1 = prev_value; percentiles[i].flag2 = 1; continue; } - if (rank > tp ) + if (rank > tp ) { - if ( f->count > 1 && rank - (f->count - 1) > tp ) + if ( f->count > 1 && rank - (f->count - 1) > tp ) { - percentiles[i].x2 = percentiles[i].x1 = f->value[0].f; + percentiles[i].x2 = percentiles[i].x1 = f->value.f; percentiles[i].flag2 = 1; } else @@ -1407,14 +1050,14 @@ calc_stats (const struct variable *v, double d[frq_n_stats]) continue; } } - prev_value = f->value[0].f; + prev_value = f->value.f; } - for (i = 0; i < n_percentiles; i++) + for (i = 0; i < n_percentiles; i++) { /* Catches the case when p == 100% */ - if ( ! percentiles[i].flag2 ) - percentiles[i].x1 = percentiles[i].x2 = f->value[0].f; + if ( ! percentiles[i].flag2 ) + percentiles[i].x1 = percentiles[i].x2 = f->value.f; /* printf("percentile %d (p==%.2f); X1 = %g; X2 = %g\n", @@ -1422,13 +1065,13 @@ calc_stats (const struct variable *v, double d[frq_n_stats]) */ } - for (i = 0; i < n_percentiles; i++) + for (i = 0; i < n_percentiles; i++) { struct freq_tab *ft = &get_var_freqs (v)->tab; double s; double dummy; - if ( get_algorithm() != COMPATIBLE ) + if ( settings_get_algorithm () != COMPATIBLE ) { s = modf((ft->valid_cases - 1) * percentiles[i].p , &dummy); } @@ -1437,11 +1080,8 @@ calc_stats (const struct variable *v, double d[frq_n_stats]) s = modf((ft->valid_cases + 1) * percentiles[i].p -1, &dummy); } - percentiles[i].value = percentiles[i].x1 + - ( percentiles[i].x2 - percentiles[i].x1) * s ; - - if ( percentiles[i].p == 0.50) - median_value = &percentiles[i].value; + percentiles[i].value = percentiles[i].x1 + + ( percentiles[i].x2 - percentiles[i].x1) * s ; } @@ -1450,12 +1090,12 @@ calc_stats (const struct variable *v, double d[frq_n_stats]) X_mode = SYSMIS; for (f = ft->valid; f < ft->missing; f++) { - if (most_often < f->count) + if (most_often < f->count) { most_often = f->count; - X_mode = f->value[0].f; + X_mode = f->value.f; } - else if (most_often == f->count) + else if (most_often == f->count) { /* A duplicate mode is undefined. FIXME: keep track of *all* the modes. */ @@ -1466,19 +1106,18 @@ calc_stats (const struct variable *v, double d[frq_n_stats]) /* Calculate moments. */ m = moments_create (MOMENT_KURTOSIS); for (f = ft->valid; f < ft->missing; f++) - moments_pass_one (m, f->value[0].f, f->count); + moments_pass_one (m, f->value.f, f->count); for (f = ft->valid; f < ft->missing; f++) - moments_pass_two (m, f->value[0].f, f->count); + moments_pass_two (m, f->value.f, f->count); moments_calculate (m, NULL, &d[frq_mean], &d[frq_variance], &d[frq_skew], &d[frq_kurt]); moments_destroy (m); - + /* Formulas below are taken from _SPSS Statistical Algorithms_. */ - d[frq_min] = ft->valid[0].value[0].f; - d[frq_max] = ft->valid[ft->n_valid - 1].value[0].f; + d[frq_min] = ft->valid[0].value.f; + d[frq_max] = ft->valid[ft->n_valid - 1].value.f; d[frq_mode] = X_mode; d[frq_range] = d[frq_max] - d[frq_min]; - d[frq_median] = *median_value; d[frq_sum] = d[frq_mean] * W; d[frq_stddev] = sqrt (d[frq_variance]); d[frq_semean] = d[frq_stddev] / sqrt (W); @@ -1488,18 +1127,14 @@ calc_stats (const struct variable *v, double d[frq_n_stats]) /* Displays a table of all the statistics requested for variable V. */ static void -dump_statistics (const struct variable *v, int show_varname) +dump_statistics (const struct variable *v, const struct variable *wv) { + const struct fmt_spec *wfmt = wv ? var_get_print_format (wv) : &F_8_0; struct freq_tab *ft; double stat_value[frq_n_stats]; struct tab_table *t; int i, r; - int n_explicit_percentiles = n_percentiles; - - if ( implicit_50th && n_percentiles > 0 ) - --n_percentiles; - if (var_is_alpha (v)) return; ft = &get_var_freqs (v)->tab; @@ -1511,15 +1146,14 @@ dump_statistics (const struct variable *v, int show_varname) } calc_stats (v, stat_value); - t = tab_create (3, n_stats + n_explicit_percentiles + 2, 0); - tab_dim (t, tab_natural_dimensions); + t = tab_create (3, n_stats + n_show_percentiles + 2); tab_box (t, TAL_1, TAL_1, -1, -1 , 0 , 0 , 2, tab_nr(t) - 1) ; tab_vline (t, TAL_1 , 2, 0, tab_nr(t) - 1); tab_vline (t, TAL_GAP , 1, 0, tab_nr(t) - 1 ) ; - + r=2; /* N missing and N valid are always dumped */ for (i = 0; i < frq_n_stats; i++) @@ -1527,7 +1161,7 @@ dump_statistics (const struct variable *v, int show_varname) { tab_text (t, 0, r, TAB_LEFT | TAT_TITLE, gettext (st_name[i].s10)); - tab_float (t, 2, r, TAB_NONE, stat_value[i], 11, 3); + tab_double (t, 2, r, TAB_NONE, stat_value[i], NULL); r++; } @@ -1535,100 +1169,155 @@ dump_statistics (const struct variable *v, int show_varname) tab_text (t, 1, 0, TAB_LEFT | TAT_TITLE, _("Valid")); tab_text (t, 1, 1, TAB_LEFT | TAT_TITLE, _("Missing")); - tab_float(t, 2, 0, TAB_NONE, ft->valid_cases, 11, 0); - tab_float(t, 2, 1, TAB_NONE, ft->total_cases - ft->valid_cases, 11, 0); + tab_double (t, 2, 0, TAB_NONE, ft->valid_cases, wfmt); + tab_double (t, 2, 1, TAB_NONE, ft->total_cases - ft->valid_cases, wfmt); - - for (i = 0; i < n_explicit_percentiles; i++, r++) + for (i = 0; i < n_percentiles; i++, r++) { - if ( i == 0 ) - { + if (!percentiles[i].show) + continue; + + if ( i == 0 ) + { tab_text (t, 0, r, TAB_LEFT | TAT_TITLE, _("Percentiles")); } - tab_float (t, 1, r, TAB_LEFT, percentiles[i].p * 100, 3, 0 ); - tab_float (t, 2, r, TAB_NONE, percentiles[i].value, 11, 3); - + if (percentiles[i].p == 0.5) + tab_text (t, 1, r, TAB_LEFT, _("50 (Median)")); + else + tab_fixed (t, 1, r, TAB_LEFT, percentiles[i].p * 100, 3, 0); + tab_double (t, 2, r, TAB_NONE, percentiles[i].value, + var_get_print_format (v)); } - tab_columns (t, SOM_COL_DOWN, 1); - if (show_varname) - tab_title (t, "%s", var_to_string (v)); - else - tab_flags (t, SOMF_NO_TITLE); - + tab_title (t, "%s", var_to_string (v)); tab_submit (t); } +static double +calculate_iqr (void) +{ + double q1 = SYSMIS; + double q3 = SYSMIS; + int i; + + for (i = 0; i < n_percentiles; i++) + { + if (fabs (0.25 - percentiles[i].p) < DBL_EPSILON) + q1 = percentiles[i].value; + else if (fabs (0.75 - percentiles[i].p) < DBL_EPSILON) + q3 = percentiles[i].value; + } + + return q1 == SYSMIS || q3 == SYSMIS ? SYSMIS : q3 - q1; +} + +static bool +chart_includes_value (const struct frq_chart *chart, + const struct variable *var, + const union value *value) +{ + if (!chart->include_missing && var_is_value_missing (var, value, MV_ANY)) + return false; + + if (var_is_numeric (var) + && ((chart->x_min != SYSMIS && value->f < chart->x_min) + || (chart->x_max != SYSMIS && value->f > chart->x_max))) + return false; + + return true; +} /* Create a gsl_histogram from a freq_tab */ -gsl_histogram * -freq_tab_to_hist(const struct freq_tab *ft, const struct variable *var) +struct histogram * +freq_tab_to_hist (const struct freq_tab *ft, const struct variable *var) { + double x_min, x_max, valid_freq; int i; - double x_min = DBL_MAX; - double x_max = -DBL_MAX; - gsl_histogram *hist; - const double bins = 11; + struct histogram *histogram; + double iqr; + int bins; - struct hsh_iterator hi; - struct hsh_table *fh = ft->data; - struct freq *frq; - - /* Find out the extremes of the x value */ - for ( frq = hsh_first(fh, &hi); frq != 0; frq = hsh_next(fh, &hi) ) + /* Find out the extremes of the x value, within the range to be included in + the histogram, and sum the total frequency of those values. */ + x_min = DBL_MAX; + x_max = -DBL_MAX; + valid_freq = 0; + for (i = 0; i < ft->n_valid; i++) { - if (var_is_value_missing(var, frq->value, MV_ANY)) - continue; - - if ( frq->value[0].f < x_min ) x_min = frq->value[0].f ; - if ( frq->value[0].f > x_max ) x_max = frq->value[0].f ; + const struct freq *frq = &ft->valid[i]; + if (chart_includes_value (&hist, var, &frq->value)) + { + x_min = MIN (x_min, frq->value.f); + x_max = MAX (x_max, frq->value.f); + valid_freq += frq->count; + } } - hist = histogram_create(bins, x_min, x_max); + /* Freedman-Diaconis' choice of bin width. */ + iqr = calculate_iqr (); + if (iqr != SYSMIS) + { + double bin_width = 2 * iqr / pow (valid_freq, 1.0 / 3.0); + bins = (x_max - x_min) / bin_width; + if (bins < 5) + bins = 5; + else if (bins > 400) + bins = 400; + } + else + bins = 5; - for( i = 0 ; i < ft->n_valid ; ++i ) + histogram = histogram_create (bins, x_min, x_max); + for (i = 0; i < ft->n_valid; i++) { - frq = &ft->valid[i]; - gsl_histogram_accumulate(hist, frq->value[0].f, frq->count); + const struct freq *frq = &ft->valid[i]; + if (chart_includes_value (&hist, var, &frq->value)) + histogram_add (histogram, frq->value.f, frq->count); } - return hist; + return histogram; } - -static struct slice * -freq_tab_to_slice_array(const struct freq_tab *frq_tab, - const struct variable *var, - int *n_slices); - +static int +add_slice (const struct freq *freq, const struct variable *var, + struct slice *slice) +{ + if (chart_includes_value (&pie, var, &freq->value)) + { + ds_init_empty (&slice->label); + var_append_value_name (var, &freq->value, &slice->label); + slice->magnitude = freq->count; + return 1; + } + else + return 0; +} /* Allocate an array of slices and fill them from the data in frq_tab n_slices will contain the number of slices allocated. The caller is responsible for freeing slices */ static struct slice * -freq_tab_to_slice_array(const struct freq_tab *frq_tab, +freq_tab_to_slice_array(const struct freq_tab *frq_tab, const struct variable *var, - int *n_slices) + int *n_slicesp) { - int i; struct slice *slices; + int n_slices; + int i; - *n_slices = frq_tab->n_valid; - - slices = xnmalloc (*n_slices, sizeof *slices); - - for (i = 0 ; i < *n_slices ; ++i ) - { - const struct freq *frq = &frq_tab->valid[i]; + slices = xnmalloc (frq_tab->n_valid + frq_tab->n_missing, sizeof *slices); + n_slices = 0; - slices[i].label = var_get_value_name (var, frq->value); - slices[i].magnetude = frq->count; - } + for (i = 0; i < frq_tab->n_valid; i++) + n_slices += add_slice (&frq_tab->valid[i], var, &slices[n_slices]); + for (i = 0; i < frq_tab->n_missing; i++) + n_slices += add_slice (&frq_tab->missing[i], var, &slices[n_slices]); + *n_slicesp = n_slices; return slices; } @@ -1639,17 +1328,26 @@ static void do_piechart(const struct variable *var, const struct freq_tab *frq_tab) { struct slice *slices; - int n_slices; + int n_slices, i; - slices = freq_tab_to_slice_array(frq_tab, var, &n_slices); + slices = freq_tab_to_slice_array (frq_tab, var, &n_slices); - piechart_plot(var_to_string(var), slices, n_slices); + if (n_slices < 2) + msg (SW, _("Omitting pie chart for %s, which has only %d unique values."), + var_get_name (var), n_slices); + else if (n_slices > 50) + msg (SW, _("Omitting pie chart for %s, which has over 50 unique values."), + var_get_name (var)); + else + chart_item_submit (piechart_create (var_to_string(var), slices, n_slices)); - free(slices); + for (i = 0; i < n_slices; i++) + ds_destroy (&slices[i].label); + free (slices); } -/* +/* Local Variables: mode: c End: