X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;ds=sidebyside;f=src%2Fexpressions%2Foperations.def;h=0d21c16a65e10bf06229fb115fc794f2d3d03118;hb=e582516e80e5a04f10a651515a35b616911cf4d6;hp=8338e18fb909792ee582086d95bd96e0b582a7ac;hpb=e32e05bf60402d3229e45adcc9b4c8d5bb27d174;p=pspp-builds.git diff --git a/src/expressions/operations.def b/src/expressions/operations.def index 8338e18f..0d21c16a 100644 --- a/src/expressions/operations.def +++ b/src/expressions/operations.def @@ -551,7 +551,7 @@ function NUMBER (string s, ni_format f) union value out; di.s = s.string; di.v = &out; - di.flags = 0; + di.flags = DI_IMPLIED_DECIMALS; di.f1 = 1; di.format = *f; di.e = s.string + min (s.length, di.format.w); @@ -617,7 +617,8 @@ operator BOOLEAN_TO_NUM (boolean x) = x; function PDF.BETA (x >= 0 && x <= 1, a > 0, b > 0) = 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) = idf_beta (P, a, b); +function IDF.BETA (P >= 0 && P <= 1, a > 0, b > 0) + = gslextras_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); @@ -665,7 +666,7 @@ function PDF.F (x >= 0, df1 > 0, df2 > 0) = gsl_ran_fdist_pdf (x, df1, df2); no_opt function RV.F (df1 > 0, df2 > 0) = gsl_ran_fdist (get_rng (), df1, df2); function NCDF.F (x >= 0, df1 > 0, df2 > 0, lambda >= 0) = unimplemented; function NPDF.F (x >= 0, df1 > 0, df2 > 0, lmabda >= 0) = unimplemented; -function SIG.F (x >= 0, df1 > 0, df2 > 0) = unimplemented; +function SIG.F (x >= 0, df1 > 0, df2 > 0) = gsl_cdf_fdist_Q (x, df1, df2); // Gamma distribution. function CDF.GAMMA (x >= 0, a > 0, b > 0) = gsl_cdf_gamma_P (x, a, 1. / b); @@ -820,7 +821,7 @@ no_opt function RV.BERNOULLI (p >= 0 && p <= 1) // Binomial distribution. function CDF.BINOM (k, n > 0 && n == floor (n), p >= 0 && p <= 1) - = unimplemented; + = gslextras_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) @@ -829,7 +830,8 @@ 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) = unimplemented; +function CDF.GEOM (k >= 1 && k == floor (k), p >= 0 && p <= 1) + = gslextras_cdf_geometric_P (k, p); function PDF.GEOM (k >= 1 && k == floor (k), p >= 0 && p <= 1) = gsl_ran_geometric_pdf (k, p); @@ -840,7 +842,7 @@ function CDF.HYPER (k >= 0 && k == floor (k) && k <= c, a > 0 && a == floor (a), b > 0 && b == floor (b) && b <= a, c > 0 && c == floor (c) && c <= a) - = unimplemented; + = gslextras_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, @@ -858,14 +860,16 @@ 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) = unimplemented; +function CDF.NEGBIN (k >= 1, n == floor (n), p > 0 && p <= 1) + = gslextras_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) = gsl_ran_negative_binomial (get_rng (), p, n); // Poisson distribution. -function CDF.POISSON (k >= 0 && k == floor (k), mu > 0) = unimplemented; +function CDF.POISSON (k >= 0 && k == floor (k), mu > 0) + = gslextras_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); @@ -888,8 +892,12 @@ no_opt operator VEC_ELEM_NUM (idx) vector v; case c; { - if (idx >= 1 && idx <= v->cnt) - return case_num (c, v->var[(int) idx - 1]->fv); + if (idx >= 1 && idx <= v->cnt) + { + const struct variable *var = v->var[(int) idx - 1]; + double value = case_num (c, var->fv); + return !is_num_user_missing (value, var) ? value : SYSMIS; + } else { if (idx == SYSMIS)