diff options
Diffstat (limited to 'var/spack/repos/builtin/packages/r-rpsychi/package.py')
| -rw-r--r-- | var/spack/repos/builtin/packages/r-rpsychi/package.py | 21 |
1 files changed, 11 insertions, 10 deletions
diff --git a/var/spack/repos/builtin/packages/r-rpsychi/package.py b/var/spack/repos/builtin/packages/r-rpsychi/package.py index 4023ea141f..dbf9264aaf 100644 --- a/var/spack/repos/builtin/packages/r-rpsychi/package.py +++ b/var/spack/repos/builtin/packages/r-rpsychi/package.py @@ -5,16 +5,17 @@ class RRpsychi(RPackage): - """The rpsychi offers a number of functions for psychiatry, - psychiatric nursing, clinical psychology. Functions are primarily - for statistical significance testing using published work. For - example, you can conduct a factorial analysis of variance (ANOVA), - which requires only the mean, standard deviation, and sample size - for each cell, rather than the individual data. This package - covers fundamental statistical tests such as t-test, chi-square - test, analysis of variance, and multiple regression analysis. With - some exceptions, you can obtain effect size and its confidence - interval. These functions help you to obtain effect size from + """Statistics for psychiatric research. + + The rpsychi offers a number of functions for psychiatry, psychiatric + nursing, clinical psychology. Functions are primarily for statistical + significance testing using published work. For example, you can conduct a + factorial analysis of variance (ANOVA), which requires only the mean, + standard deviation, and sample size for each cell, rather than the + individual data. This package covers fundamental statistical tests such as + t-test, chi-square test, analysis of variance, and multiple regression + analysis. With some exceptions, you can obtain effect size and its + confidence interval. These functions help you to obtain effect size from published work, and then to conduct a priori power analysis or meta-analysis, even if a researcher do not report effect size in a published work.""" |