/* PSPP - a program for statistical analysis.
- Copyright (C) 2005, 2009, 2010, 2011, 2012 Free Software Foundation, Inc.
+ Copyright (C) 2005, 2009, 2010, 2011, 2012, 2013 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
There is only one independent variable, and it is the same
as the dependent variable. Print a warning and continue.
*/
- msg (SE,
+ msg (SW,
gettext ("The dependent variable is equal to the independent variable."
"The least squares line is therefore Y=X."
"Standard errors and related statistics may be meaningless."));
/*
STATISTICS subcommand output functions.
*/
-static void reg_stats_r (linreg *, void *);
-static void reg_stats_coeff (linreg *, void *);
-static void reg_stats_anova (linreg *, void *);
-static void reg_stats_bcov (linreg *, void *);
+static void reg_stats_r (linreg *, void *, const struct variable *);
+static void reg_stats_coeff (linreg *, void *, const struct variable *);
+static void reg_stats_anova (linreg *, void *, const struct variable *);
+static void reg_stats_bcov (linreg *, void *, const struct variable *);
-static void statistics_keyword_output (void (*)(linreg *, void *),
- bool, linreg *, void *);
+static void statistics_keyword_output (void (*)(linreg *, void *, const struct variable *),
+ bool, linreg *, void *, const struct variable *);
static void
-subcommand_statistics (const struct regression *cmd , linreg * c, void *aux)
+subcommand_statistics (const struct regression *cmd , linreg * c, void *aux,
+ const struct variable *var)
{
- statistics_keyword_output (reg_stats_r, cmd->r, c, aux);
- statistics_keyword_output (reg_stats_anova, cmd->anova, c, aux);
- statistics_keyword_output (reg_stats_coeff, cmd->coeff, c, aux);
- statistics_keyword_output (reg_stats_bcov, cmd->bcov, c, aux);
+ statistics_keyword_output (reg_stats_r, cmd->r, c, aux, var);
+ statistics_keyword_output (reg_stats_anova, cmd->anova, c, aux, var);
+ statistics_keyword_output (reg_stats_coeff, cmd->coeff, c, aux, var);
+ statistics_keyword_output (reg_stats_bcov, cmd->bcov, c, aux, var);
}
struct covariance *cov;
const struct variable **vars;
const struct variable **all_vars;
- const struct variable *dep_var;
struct casereader *reader;
size_t n_all_vars;
for (k = 0; k < cmd->n_dep_vars; k++)
{
double n_data;
-
+ const struct variable *dep_var = cmd->dep_vars[k];
gsl_matrix *this_cm;
- dep_var = cmd->dep_vars[k];
+
n_indep = identify_indep_vars (cmd, vars, dep_var);
this_cm = gsl_matrix_alloc (n_indep + 1, n_indep + 1);
if (!taint_has_tainted_successor (casereader_get_taint (input)))
{
- subcommand_statistics (cmd, models[k], this_cm);
+ subcommand_statistics (cmd, models[k], this_cm, dep_var);
}
}
else
static void
-reg_stats_r (linreg *c, void *aux UNUSED)
+reg_stats_r (linreg *c, void *aux UNUSED, const struct variable *var)
{
struct tab_table *t;
int n_rows = 2;
tab_double (t, 2, 1, TAB_RIGHT, rsq, NULL);
tab_double (t, 3, 1, TAB_RIGHT, adjrsq, NULL);
tab_double (t, 4, 1, TAB_RIGHT, std_error, NULL);
- tab_title (t, _("Model Summary"));
+ tab_title (t, _("Model Summary (%s)"), var_to_string (var));
tab_submit (t);
}
Table showing estimated regression coefficients.
*/
static void
-reg_stats_coeff (linreg * c, void *aux_)
+reg_stats_coeff (linreg * c, void *aux_, const struct variable *var)
{
size_t j;
int n_cols = 7;
tab_double (t, 6, this_row, 0, pval, NULL);
ds_destroy (&tstr);
}
- tab_title (t, _("Coefficients"));
+ tab_title (t, _("Coefficients (%s)"), var_to_string (var));
tab_submit (t);
}
Display the ANOVA table.
*/
static void
-reg_stats_anova (linreg * c, void *aux UNUSED)
+reg_stats_anova (linreg * c, void *aux UNUSED, const struct variable *var)
{
int n_cols = 7;
int n_rows = 4;
tab_double (t, 6, 1, 0, pval, NULL);
- tab_title (t, _("ANOVA"));
+ tab_title (t, _("ANOVA (%s)"), var_to_string (var));
tab_submit (t);
}
static void
-reg_stats_bcov (linreg * c, void *aux UNUSED)
+reg_stats_bcov (linreg * c, void *aux UNUSED, const struct variable *var)
{
int n_cols;
int n_rows;
gsl_matrix_get (c->cov, row, col), NULL);
}
}
- tab_title (t, _("Coefficient Correlations"));
+ tab_title (t, _("Coefficient Correlations (%s)"), var_to_string (var));
tab_submit (t);
}
static void
-statistics_keyword_output (void (*function) (linreg *, void *),
- bool keyword, linreg * c, void *aux)
+statistics_keyword_output (void (*function) (linreg *, void *, const struct variable *var),
+ bool keyword, linreg * c, void *aux, const struct variable *var)
{
if (keyword)
{
- (*function) (c, aux);
+ (*function) (c, aux, var);
}
}
regression /variables=v0 v1 v2 /statistics defaults /dependent=v2 /method=enter /save=pred resid.
list.
])
+
AT_CHECK([pspp -o pspp.csv regression.sps])
AT_CHECK([cat pspp.csv], [0], [dnl
Table: Reading free-form data from INLINE.
v1,F8.0
v2,F8.0
-Table: Model Summary
+Table: Model Summary (v2)
,R,R Square,Adjusted R Square,Std. Error of the Estimate
,.97,.94,.93,1.34
-Table: ANOVA
+Table: ANOVA (v2)
,,Sum of Squares,df,Mean Square,F,Significance
,Regression,202.75,2,101.38,56.75,.00
,Residual,12.50,7,1.79,,
,Total,215.26,9,,,
-Table: Coefficients
+Table: Coefficients (v2)
,,B,Std. Error,Beta,t,Significance
,(Constant),2.19,2.36,.00,.93,.38
,v0,1.81,1.05,.17,1.72,.12
v0,F8.0
v1,F8.0
-Table: Model Summary
+Table: Model Summary (v0)
,R,R Square,Adjusted R Square,Std. Error of the Estimate
,.05,.00,.00,8.11
-Table: ANOVA
+Table: ANOVA (v0)
,,Sum of Squares,df,Mean Square,F,Significance
,Regression,235.23,1,235.23,3.58,.06
,Residual,98438.40,1498,65.71,,
,Total,98673.63,1499,,,
-Table: Coefficients
+Table: Coefficients (v0)
,,B,Std. Error,Beta,t,Significance
,(Constant),1.24,.42,.00,2.95,.00
,v1,1.37,.72,.05,1.89,.06