double weight = dict_get_case_weight (cmd->dict, c, &res->warn_bad_weight);
const union value *depval = case_data (c, cmd->dep_var);
+ if (var_is_value_missing (cmd->dep_var, depval, cmd->exclude))
+ {
+ missing = true;
+ }
+ else
for (v = 0; v < cmd->n_indep_vars; ++v)
{
const union value *val = case_data (c, cmd->indep_vars[v]);
NULL,
NULL);
+ input = casereader_create_filter_missing (input,
+ &cmd->dep_var,
+ 1,
+ cmd->exclude,
+ NULL,
+ NULL);
work.hessian = gsl_matrix_calloc (work.beta_hat->size, work.beta_hat->size);
data list notable file='lr-data.txt'
list /id outcome survrate prognos amttreat gsi avoid intrus pre_1 lre_1 w *.
-missing values survrate (999) avoid (44444).
+missing values survrate (999) avoid (44444) outcome (99).
logistic regression
variables = outcome with survrate avoid
AT_CHECK([pspp -O format=csv lr-data.sps > run0], [0], [ignore])
+dnl Append some cases with missing values into the data.
cat >> lr-data.txt << HERE
105.00 1.00 999.00 3.00 2.00 .35 17.00 20.00 .50110 -2.00440 1
106.00 1.00 999.00 2.00 3.00 .38 7.00 15.00 .20168 -1.25264 1
107.00 1.00 5.00 3.00 2.00 .28 44444 34 .00897 -1.00905 1
+ 108.00 99 5.00 3.00 2.00 .28 4 34 .00897 -1.00905 1
HERE
AT_CHECK([pspp -O format=csv lr-data.sps > run1], [0], [ignore])
< Missing Cases,0,.000
< Total,66,100.000
---
-> Included in Analysis,66,95.652
-> Missing Cases,3,4.348
-> Total,69,100.000
+> Included in Analysis,66,94.286
+> Missing Cases,4,5.714
+> Total,70,100.000
])
AT_CLEANUP