// -*- c -*-
+//
+// PSPP - a program for statistical analysis.
+// Copyright (C) 2005, 2006, 2009, 2010, 2011, 2012, 2015, 2016 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 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.
+//
+// You should have received a copy of the GNU General Public License
+// along with this program. If not, see <http://www.gnu.org/licenses/>.
operator NEG (x) = -x;
boolean operator NE (a, b) = a != b;
// String relational operators.
-boolean operator EQ_STRING (string a, string b) = compare_string (&a, &b) == 0;
-boolean operator GE_STRING (string a, string b) = compare_string (&a, &b) >= 0;
-boolean operator GT_STRING (string a, string b) = compare_string (&a, &b) > 0;
-boolean operator LE_STRING (string a, string b) = compare_string (&a, &b) <= 0;
-boolean operator LT_STRING (string a, string b) = compare_string (&a, &b) < 0;
-boolean operator NE_STRING (string a, string b) = compare_string (&a, &b) != 0;
+boolean operator EQ_STRING (string a, string b) = compare_string_3way (&a, &b) == 0;
+boolean operator GE_STRING (string a, string b) = compare_string_3way (&a, &b) >= 0;
+boolean operator GT_STRING (string a, string b) = compare_string_3way (&a, &b) > 0;
+boolean operator LE_STRING (string a, string b) = compare_string_3way (&a, &b) <= 0;
+boolean operator LT_STRING (string a, string b) = compare_string_3way (&a, &b) < 0;
+boolean operator NE_STRING (string a, string b) = compare_string_3way (&a, &b) != 0;
// Unary functions.
function ABS (x) = fabs (x);
function LN (x) = check_errno (log (x));
function LNGAMMA (x >= 0) = gsl_sf_lngamma (x);
function MOD10 (x) = fmod (x, 10);
-function RND (x) = x >= 0. ? floor (x + .5) : -floor (-x + .5);
+function RND (x) = round_nearest (x, 1, 0);
+function RND (x, mult != 0) = round_nearest (x, mult, 0);
+function RND (x, mult != 0, fuzzbits >= 0) = round_nearest (x, mult, fuzzbits);
function SIN (x) = sin (x);
function SQRT (x >= 0) = sqrt (x);
function TAN (x) = check_errno (tan (x));
-function TRUNC (x) = x >= 0. ? floor (x) : -floor (-x);
+function TRUNC (x) = round_zero (x, 1, 0);
+function TRUNC (x, mult != 0) = round_zero (x, mult, 0);
+function TRUNC (x, mult != 0, fuzzbits >= 0) = round_zero (x, mult, fuzzbits);
absorb_miss function MOD (n, d)
{
size_t i;
for (i = 0; i < n; i++)
- if (!compare_string (&x, &a[i]))
+ if (!compare_string_3way (&x, &a[i]))
return 1.;
return 0.;
}
max = &a[0];
for (i = 1; i < n; i++)
- if (compare_string (&a[i], max) > 0)
+ if (compare_string_3way (&a[i], max) > 0)
max = &a[i];
return *max;
}
return mean;
}
+function MEDIAN.1 (a[n])
+{
+ return median (a, n);
+}
+
function MIN.1 (a[n])
{
double min;
min = &a[0];
for (i = 1; i < n; i++)
- if (compare_string (&a[i], min) < 0)
+ if (compare_string_3way (&a[i], min) < 0)
min = &a[i];
return *min;
}
absorb_miss function NMISS (a[n])
{
- size_t i;
- size_t missing_cnt = 0;
-
- for (i = 0; i < n; i++)
- missing_cnt += a[i] == SYSMIS;
- return missing_cnt;
+ size_t n_missings = 0;
+ for (size_t i = 0; i < n; i++)
+ n_missings += a[i] == SYSMIS;
+ return n_missings;
}
absorb_miss function NVALID (a[n])
{
- size_t i;
- size_t valid_cnt = 0;
-
- for (i = 0; i < n; i++)
- valid_cnt += a[i] != SYSMIS;
- return valid_cnt;
+ size_t n_valids = 0;
+ for (size_t i = 0; i < n; i++)
+ n_valids += a[i] != SYSMIS;
+ return n_valids;
}
absorb_miss boolean function RANGE (x != SYSMIS, a[n*2])
{
struct substring *w = &a[2 * i];
struct substring *y = &a[2 * i + 1];
- if (compare_string (w, &x) <= 0 && compare_string (&x, y) <= 0)
+ if (compare_string_3way (w, &x) <= 0 && compare_string_3way (&x, y) <= 0)
return 1.;
}
return 0.;
function DATE.DMY (d, m, y) = expr_ymd_to_date (y, m, d);
function DATE.MDY (m, d, y) = expr_ymd_to_date (y, m, d);
function DATE.MOYR (m, y) = expr_ymd_to_date (y, m, 1);
-function DATE.QYR (q, y) = expr_ymd_to_date (y, q * 3 - 2, 1);
+function DATE.QYR (q, y)
+{
+ if (q < 1.0 || q > 4.0 || q != (int) q)
+ {
+ msg (SW, _("The first argument to DATE.QYR must be 1, 2, 3, or 4."));
+ return SYSMIS;
+ }
+ return expr_ymd_to_date (y, q * 3 - 2, 1);
+}
function DATE.WKYR (w, y) = expr_wkyr_to_date (w, y);
function DATE.YRDAY (y, yday) = expr_yrday_to_date (y, yday);
function YRMODA (y, m, d) = expr_yrmoda (y, m, d);
function XDATE.WKDAY (date >= DAY_S) = calendar_offset_to_wday (date / DAY_S);
function XDATE.YEAR (date >= DAY_S) = calendar_offset_to_year (date / DAY_S);
+// Date arithmetic functions.
+no_abbrev function DATEDIFF (date2 >= DAY_S, date1 >= DAY_S, string unit)
+ = expr_date_difference (date1, date2, unit);
+no_abbrev function DATESUM (date, quantity, string unit)
+ = expr_date_sum (date, quantity, unit, ss_cstr ("closest"));
+no_abbrev function DATESUM (date, quantity, string unit, string method)
+ = expr_date_sum (date, quantity, unit, method);
+
+
// String functions.
string function CONCAT (string a[n])
expression e;
}
}
-
function RINDEX (string haystack, string needle)
{
if (needle.length == 0)
function RINDEX (string haystack, string needles, needle_len_d)
{
- if (needle_len_d <= INT_MIN || needle_len_d >= INT_MAX
+ if (needle_len_d <= 0 || needle_len_d >= INT_MAX
|| (int) needle_len_d != needle_len_d
|| needles.length == 0)
return SYSMIS;
}
}
+string function REPLACE (string haystack, string needle, string replacement)
+ expression e;
+ = replace_string (e, haystack, needle, replacement, DBL_MAX);
+
+absorb_miss string function REPLACE (string haystack, string needle,
+ string replacement, n)
+ expression e;
+ = replace_string (e, haystack, needle, replacement, n);
+
absorb_miss string function RPAD (string s, n)
expression e;
{
string function LTRIM (string s)
{
- while (s.length > 0 && s.string[0] == ' ')
+ while (s.length > 0 && s.string[0] == ' ')
{
s.length--;
s.string++;
{
if (c.length == 1)
{
- while (s.length > 0 && s.string[0] == c.string[0])
+ while (s.length > 0 && s.string[0] == c.string[0])
{
s.length--;
s.string++;
function NUMBER (string s, ni_format f)
{
- struct data_in di;
union value out;
- di.s = s.string;
- di.v = &out;
- di.flags = DI_IMPLIED_DECIMALS;
- di.f1 = 1;
- di.format = *f;
- di.e = s.string + min (s.length, di.format.w);
- data_in (&di);
+ char *error;
+
+ if (s.length > f->w)
+ s.length = f->w;
+ error = data_in (s, C_ENCODING, f->type, settings_get_fmt_settings (),
+ &out, 0, NULL);
+ if (error == NULL)
+ data_in_imply_decimals (s, C_ENCODING, f->type, f->d,
+ settings_get_fmt_settings (), &out);
+ else
+ {
+ msg (SE, "Cannot parse `%.*s' as format %s: %s",
+ (int) s.length, s.string, fmt_name (f->type), error);
+ free (error);
+ }
return out.f;
}
{
union value v;
struct substring dst;
+ char *s;
v.f = x;
- dst = alloc_string (e, f->w);
- assert ((formats[f->type].cat & FCAT_STRING) == 0);
- data_out (dst.string, f, &v);
+
+ assert (!fmt_is_string (f->type));
+ s = data_out (&v, C_ENCODING, f, settings_get_fmt_settings ());
+ dst = alloc_string (e, strlen (s));
+ strcpy (dst.string, s);
+ free (s);
return dst;
}
+absorb_miss string function STRUNC (string s, n)
+{
+ if (n < 1 || n == SYSMIS)
+ return empty_string;
+
+ if (n < s.length)
+ s.length = n;
+ while (s.length > 0 && s.string[s.length - 1] == ' ')
+ s.length--;
+ return s;
+}
+
absorb_miss string function SUBSTR (string s, ofs)
expression e;
{
return empty_string;
}
+absorb_miss no_opt no_abbrev string function VALUELABEL (var v)
+ expression e;
+ case c;
+{
+ const char *label = var_lookup_value_label (v, case_data (c, v));
+ if (label != NULL)
+ return copy_string (e, label, strlen (label));
+ else
+ return empty_string;
+}
+
// Artificial.
operator SQUARE (x) = x * x;
boolean operator NUM_TO_BOOLEAN (x)
{
if (x == 0. || x == 1. || x == SYSMIS)
return x;
- else
- {
- msg (SE, _("A number being treated as a Boolean in an "
- "expression was found to have a value other than "
- "0 (false), 1 (true), or the system-missing value. "
- "The result was forced to 0."));
- return 0.;
- }
+
+ msg (SE, _("A logical expression was found to have a value other than 0 "
+ "(false), 1 (true), or the system-missing value. The result "
+ "was forced to 0."));
+ return 0.;
}
operator BOOLEAN_TO_NUM (boolean x) = x;
= gsl_ran_beta_pdf (x, a, b);
function CDF.BETA (x >= 0 && x <= 1, a > 0, b > 0) = gsl_cdf_beta_P (x, a, b);
function IDF.BETA (P >= 0 && P <= 1, a > 0, b > 0)
- = gslextras_cdf_beta_Pinv (P, a, b);
+ = gsl_cdf_beta_Pinv (P, a, b);
no_opt function RV.BETA (a > 0, b > 0) = gsl_ran_beta (get_rng (), a, b);
function NCDF.BETA (x >= 0, a > 0, b > 0, lambda > 0)
= ncdf_beta (x, a, b, lambda);
function IDF.GAMMA (P >= 0 && P <= 1, a > 0, b > 0)
= gsl_cdf_gamma_Pinv (P, a, 1. / b);
function PDF.GAMMA (x >= 0, a > 0, b > 0) = gsl_ran_gamma_pdf (x, a, 1. / b);
-no_opt function RV.GAMMA (a > 0, b > 0)
+no_opt function RV.GAMMA (a > 0, b > 0)
= gsl_ran_gamma (get_rng (), a, 1. / b);
// Half-normal distribution.
function IDF.LAPLACE (P > 0 && P < 1, a, b > 0)
= a + b * gsl_cdf_laplace_Pinv (P, 1);
function PDF.LAPLACE (x, a, b > 0) = gsl_ran_laplace_pdf ((x - a) / b, 1) / b;
-no_opt function RV.LAPLACE (a, b > 0)
+no_opt function RV.LAPLACE (a, b > 0)
= a + b * gsl_ran_laplace (get_rng (), 1);
// Levy alpha-stable distribution.
-no_opt extension function RV.LEVY (c, alpha > 0 && alpha <= 2)
+no_opt extension function RV.LEVY (c, alpha > 0 && alpha <= 2)
= gsl_ran_levy (get_rng (), c, alpha);
// Levy skew alpha-stable distribution.
no_opt extension function RV.LVSKEW (c, alpha > 0 && alpha <= 2,
- beta >= -1 && beta <= 1)
+ beta >= -1 && beta <= 1)
= gsl_ran_levy_skew (get_rng (), c, alpha, beta);
// Logistic distribution.
= a + b * gsl_cdf_logistic_Pinv (P, 1);
function PDF.LOGISTIC (x, a, b > 0)
= gsl_ran_logistic_pdf ((x - a) / b, 1) / b;
-no_opt function RV.LOGISTIC (a, b > 0)
+no_opt function RV.LOGISTIC (a, b > 0)
= a + b * gsl_ran_logistic (get_rng (), 1);
// Lognormal distribution.
= gsl_cdf_lognormal_Pinv (P, log (m), s);
function PDF.LNORMAL (x >= 0, m > 0, s > 0)
= gsl_ran_lognormal_pdf (x, log (m), s);
-no_opt function RV.LNORMAL (m > 0, s > 0)
+no_opt function RV.LNORMAL (m > 0, s > 0)
= gsl_ran_lognormal (get_rng (), log (m), s);
// Normal distribution.
// Normal tail distribution.
function PDF.NTAIL (x, a > 0, sigma > 0)
= gsl_ran_gaussian_tail_pdf (x, a, sigma);
-no_opt function RV.NTAIL (a > 0, sigma > 0)
+no_opt function RV.NTAIL (a > 0, sigma > 0)
= gsl_ran_gaussian_tail (get_rng (), a, sigma);
// Pareto distribution.
= gsl_cdf_rayleigh_Pinv (P, sigma);
extension function PDF.RAYLEIGH (x, sigma > 0)
= gsl_ran_rayleigh_pdf (x, sigma);
-no_opt extension function RV.RAYLEIGH (sigma > 0)
+no_opt extension function RV.RAYLEIGH (sigma > 0)
= gsl_ran_rayleigh (get_rng (), sigma);
// Rayleigh tail distribution.
extension function PDF.RTAIL (x, a, sigma)
= gsl_ran_rayleigh_tail_pdf (x, a, sigma);
-no_opt extension function RV.RTAIL (a, sigma)
+no_opt extension function RV.RTAIL (a, sigma)
= gsl_ran_rayleigh_tail (get_rng (), a, sigma);
// Studentized maximum modulus distribution.
// Type-1 Gumbel distribution.
extension function CDF.T1G (x, a, b) = gsl_cdf_gumbel1_P (x, a, b);
extension function IDF.T1G (P >= 0 && P <= 1, a, b)
- = gsl_cdf_gumbel1_P (P, a, b);
+ = gsl_cdf_gumbel1_Pinv (P, a, b);
extension function PDF.T1G (x, a, b) = gsl_ran_gumbel1_pdf (x, a, b);
no_opt extension function RV.T1G (a, b) = gsl_ran_gumbel1 (get_rng (), a, b);
// Type-2 Gumbel distribution.
extension function CDF.T2G (x, a, b) = gsl_cdf_gumbel2_P (x, a, b);
extension function IDF.T2G (P >= 0 && P <= 1, a, b)
- = gsl_cdf_gumbel2_P (P, a, b);
+ = gsl_cdf_gumbel2_Pinv (P, a, b);
extension function PDF.T2G (x, a, b) = gsl_ran_gumbel2_pdf (x, a, b);
no_opt extension function RV.T2G (a, b) = gsl_ran_gumbel2 (get_rng (), a, b);
no_opt function RV.WEIBULL (a > 0, b > 0) = gsl_ran_weibull (get_rng (), a, b);
// Bernoulli distribution.
-function CDF.BERNOULLI (k == 0 || k == 1, p >= 0 && p <= 1)
+function CDF.BERNOULLI (k == 0 || k == 1, p >= 0 && p <= 1)
= k ? 1 : 1 - p;
function PDF.BERNOULLI (k == 0 || k == 1, p >= 0 && p <= 1)
= gsl_ran_bernoulli_pdf (k, p);
-no_opt function RV.BERNOULLI (p >= 0 && p <= 1)
+no_opt function RV.BERNOULLI (p >= 0 && p <= 1)
= gsl_ran_bernoulli (get_rng (), p);
// Binomial distribution.
function CDF.BINOM (k, n > 0 && n == floor (n), p >= 0 && p <= 1)
- = gslextras_cdf_binomial_P (k, p, n);
+ = gsl_cdf_binomial_P (k, p, n);
function PDF.BINOM (k >= 0 && k == floor (k) && k <= n,
n > 0 && n == floor (n),
p >= 0 && p <= 1)
= gsl_ran_binomial_pdf (k, p, n);
-no_opt function RV.BINOM (p > 0 && p == floor (p), n >= 0 && n <= 1)
+no_opt function RV.BINOM (p > 0 && p == floor (p), n >= 0 && n <= 1)
= gsl_ran_binomial (get_rng (), p, n);
// Geometric distribution.
function CDF.GEOM (k >= 1 && k == floor (k), p >= 0 && p <= 1)
- = gslextras_cdf_geometric_P (k, p);
+ = gsl_cdf_geometric_P (k, p);
function PDF.GEOM (k >= 1 && k == floor (k),
p >= 0 && p <= 1)
= gsl_ran_geometric_pdf (k, p);
a > 0 && a == floor (a),
b > 0 && b == floor (b) && b <= a,
c > 0 && c == floor (c) && c <= a)
- = gslextras_cdf_hypergeometric_P (k, c, a - c, b);
+ = gsl_cdf_hypergeometric_P (k, c, a - c, b);
function PDF.HYPER (k >= 0 && k == floor (k) && k <= c,
a > 0 && a == floor (a),
b > 0 && b == floor (b) && b <= a,
// Logarithmic distribution.
extension function PDF.LOG (k >= 1, p > 0 && p <= 1)
= gsl_ran_logarithmic_pdf (k, p);
-no_opt extension function RV.LOG (p > 0 && p <= 1)
+no_opt extension function RV.LOG (p > 0 && p <= 1)
= gsl_ran_logarithmic (get_rng (), p);
// Negative binomial distribution.
function CDF.NEGBIN (k >= 1, n == floor (n), p > 0 && p <= 1)
- = gslextras_cdf_negative_binomial_P (k, p, n);
+ = gsl_cdf_negative_binomial_P (k, p, n);
function PDF.NEGBIN (k >= 1, n == floor (n), p > 0 && p <= 1)
= gsl_ran_negative_binomial_pdf (k, p, n);
-no_opt function RV.NEGBIN (n == floor (n), p > 0 && p <= 1)
+no_opt function RV.NEGBIN (n == floor (n), p > 0 && p <= 1)
= gsl_ran_negative_binomial (get_rng (), p, n);
// Poisson distribution.
function CDF.POISSON (k >= 0 && k == floor (k), mu > 0)
- = gslextras_cdf_poisson_P (k, mu);
+ = gsl_cdf_poisson_P (k, mu);
function PDF.POISSON (k >= 0 && k == floor (k), mu > 0)
= gsl_ran_poisson_pdf (k, mu);
no_opt function RV.POISSON (mu > 0) = gsl_ran_poisson (get_rng (), mu);
// Weirdness.
-absorb_miss boolean function MISSING (x) = x == SYSMIS || !finite (x);
-absorb_miss boolean function SYSMIS (x) = x == SYSMIS || !finite (x);
+absorb_miss boolean function MISSING (x) = x == SYSMIS || !isfinite (x);
+absorb_miss boolean function SYSMIS (x) = x == SYSMIS || !isfinite (x);
no_opt boolean function SYSMIS (num_var v)
case c;
{
- return case_num (c, v->fv) == SYSMIS;
+ return case_num (c, v) == SYSMIS;
}
no_opt boolean function VALUE (num_var v)
case c;
{
- return case_num (c, v->fv);
+ return case_num (c, v);
}
no_opt operator VEC_ELEM_NUM (idx)
vector v;
case c;
{
- if (idx >= 1 && idx <= v->cnt)
+ if (idx >= 1 && idx <= vector_get_n_vars (v))
{
- const struct variable *var = v->var[(int) idx - 1];
- double value = case_num (c, var->fv);
- return !mv_is_num_user_missing (&var->miss, value) ? value : SYSMIS;
+ const struct variable *var = vector_get_var (v, (size_t) idx - 1);
+ double value = case_num (c, var);
+ return !var_is_num_missing (var, value, MV_USER) ? value : SYSMIS;
}
else
{
if (idx == SYSMIS)
msg (SE, _("SYSMIS is not a valid index value for vector "
"%s. The result will be set to SYSMIS."),
- v->name);
+ vector_get_name (v));
else
msg (SE, _("%g is not a valid index value for vector %s. "
"The result will be set to SYSMIS."),
- idx, v->name);
+ idx, vector_get_name (v));
return SYSMIS;
}
}
vector v;
case c;
{
- if (idx >= 1 && idx <= v->cnt)
+ if (idx >= 1 && idx <= vector_get_n_vars (v))
{
- struct variable *var = v->var[(int) idx - 1];
- return copy_string (e, case_str (c, var->fv), var->width);
+ struct variable *var = vector_get_var (v, (size_t) idx - 1);
+ return copy_string (e, CHAR_CAST_BUG (char *, case_str (c, var)),
+ var_get_width (var));
}
else
{
if (idx == SYSMIS)
msg (SE, _("SYSMIS is not a valid index value for vector "
"%s. The result will be set to the empty string."),
- v->name);
+ vector_get_name (v));
else
msg (SE, _("%g is not a valid index value for vector %s. "
"The result will be set to the empty string."),
- idx, v->name);
+ idx, vector_get_name (v));
return empty_string;
}
}
case c;
num_var v;
{
- double d = case_num (c, v->fv);
- return !mv_is_num_user_missing (&v->miss, d) ? d : SYSMIS;
+ double d = case_num (c, v);
+ return !var_is_num_missing (v, d, MV_USER) ? d : SYSMIS;
}
no_opt string operator STR_VAR ()
expression e;
str_var v;
{
- struct substring s = alloc_string (e, v->width);
- memcpy (s.string, case_str (c, v->fv), v->width);
+ struct substring s = alloc_string (e, var_get_width (v));
+ memcpy (s.string, case_str (c, v), var_get_width (v));
return s;
}
no_opt perm_only function LAG (num_var v, pos_int n_before)
+ dataset ds;
{
- struct ccase *c = lagged_case (current_dataset, n_before);
+ const struct ccase *c = lagged_case (ds, n_before);
if (c != NULL)
{
- double x = case_num (c, v->fv);
- return !mv_is_num_user_missing (&v->miss, x) ? x : SYSMIS;
+ double x = case_num (c, v);
+ return !var_is_num_missing (v, x, MV_USER) ? x : SYSMIS;
}
else
return SYSMIS;
}
no_opt perm_only function LAG (num_var v)
+ dataset ds;
{
- struct ccase *c = lagged_case (current_dataset, 1);
+ const struct ccase *c = lagged_case (ds, 1);
if (c != NULL)
{
- double x = case_num (c, v->fv);
- return !mv_is_num_user_missing (&v->miss, x) ? x : SYSMIS;
+ double x = case_num (c, v);
+ return !var_is_num_missing (v, x, MV_USER) ? x : SYSMIS;
}
else
return SYSMIS;
no_opt perm_only string function LAG (str_var v, pos_int n_before)
expression e;
+ dataset ds;
{
- struct ccase *c = lagged_case (current_dataset, n_before);
+ const struct ccase *c = lagged_case (ds, n_before);
if (c != NULL)
- return copy_string (e, case_str (c, v->fv), v->width);
+ return copy_string (e, CHAR_CAST_BUG (char *, case_str (c, v)),
+ var_get_width (v));
else
return empty_string;
}
no_opt perm_only string function LAG (str_var v)
expression e;
+ dataset ds;
{
- struct ccase *c = lagged_case (current_dataset, 1);
+ const struct ccase *c = lagged_case (ds, 1);
if (c != NULL)
- return copy_string (e, case_str (c, v->fv), v->width);
+ return copy_string (e, CHAR_CAST_BUG (char *, case_str (c, v)),
+ var_get_width (v));
else
return empty_string;
}
case c;
num_var v;
{
- return case_num (c, v->fv) == SYSMIS;
+ return case_num (c, v) == SYSMIS;
}
no_opt operator NUM_VAL ()
case c;
num_var v;
{
- return case_num (c, v->fv);
+ return case_num (c, v);
}
no_opt operator CASENUM ()
projects / pspp / blobdiff