rpsychi: Statistics for psychiatric research
Version 0.8

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.

AuthorYasuyuki Okumura <yokumura@blue.zero.jp>
Date of publication2012-01-03 08:12:22
MaintainerYasuyuki Okumura <yokumura@blue.zero.jp>
LicenseGPL (>= 2)
Version0.8
URL http://blue.zero.jp/yokumura/
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("rpsychi")

Getting started

Package overview

Popular man pages

dep.oneway.second: A one-way design with dependent samples using published work:...
formatted: Convert a numeric vector into a character vector with the...
ind.oneway.second: A one-way design with independent samples using published...
ind.twoway: A two-way design with independent samples using individual...
lower2R: Convert a vector containing correlations into a correlation...
rpsychi-package: Statistics for psychiatric research
samplesize.r: Sample size estimation in the significance testing of a...
See all...

All man pages Function index File listing

Man pages

dep.oneway: A one-way design with dependent samples using individual...
dep.oneway.second: A one-way design with dependent samples using published work:...
dep.t.test: A t-test with dependent samples using individual data:...
dep.t.test.second: A t-test with dependent samples using published work:...
FNONCT: Compute the noncentrality parameter of an F distribution
formatted: Convert a numeric vector into a character vector with the...
groupSummary: Compute summary statistics by group
ind.oneway: A one-way design with independent samples using individual...
ind.oneway.second: A one-way design with independent samples using published...
ind.prop: A Z test for the equality of two proportions using individual...
ind.prop.second: A Z test for the equality of two proportions using published...
ind.t.test: A t-test with independent samples using individual data:...
ind.t.test.second: A t-test with independent samples using published work:...
ind.twoway: A two-way design with independent samples using individual...
ind.twoway.second: A two-way design with independent samples using published...
lower2R: Convert a vector containing correlations into a correlation...
md.pattern2: Display missing-data patterns
multreg: A multiple regression analysis using individual data
multreg.second: A multiple regression analysis using published work
power.f: Statistical power for F tests on means in the analysis of...
power.f2: Statistical power for F tests on means in the two-way...
power.multi: Statistical power for F tests of variance proportions
power.prop: Statistical power for differences between proportions
power.r: Statistical power for the significance testing of a product...
power.t: Statistical power for the t test for means
r2cov: Convert correlation matrix into covariance matrix
rpsychi-package: Statistics for psychiatric research
samplesize.d: Sample size estimation in the t test for means
samplesize.etasq: Sample size estimation in the analysis of variance
samplesize.h: Sample size estimation in the differences between proportions
samplesize.r: Sample size estimation in the significance testing of a...
samplesize.rsq: Sample size estimation in the F tests of variance proportions
ssd: Compute sample standard deviation
ssd2sd: Convert sample standard deviation into unbiased one
sumfun: Compute summary statistics using library(doBy)
svar: Compute sample variance
zero.r.test: A significance testing of a product moment correlation using...
zero.r.test.second: A significance testing of a product moment correlation using...

Functions

Files

MD5
rpsychi-Ex.R
R
R/zero.r.test.second.R
R/zero.r.test.R
R/svar.R
R/sumfun.R
R/ssd2sd.R
R/ssd.R
R/samplesize.rsq.R
R/samplesize.r.R
R/samplesize.h.R
R/samplesize.etasq.R
R/samplesize.d.R
R/r2cov.R
R/power.t.R
R/power.r.R
R/power.prop.R
R/power.multi.R
R/power.f2.R
R/power.f.R
R/multreg.second.R
R/multreg.R
R/md.pattern2.R
R/lower2R.R
R/ind.twoway.second.R
R/ind.twoway.R
R/ind.t.test.second.R
R/ind.t.test.R
R/ind.prop.second.R
R/ind.prop.R
R/ind.oneway.second.R
R/ind.oneway.R
R/groupSummary.R
R/formatted.R
R/FNONCT.R
R/dep.t.test.second.R
R/dep.t.test.R
R/dep.oneway.second.R
R/dep.oneway.R
NEWS
NAMESPACE
man
man/zero.r.test.second.Rd
man/zero.r.test.Rd
man/svar.Rd
man/sumfun.Rd
man/ssd2sd.Rd
man/ssd.Rd
man/samplesize.rsq.Rd
man/samplesize.r.Rd
man/samplesize.h.Rd
man/samplesize.etasq.Rd
man/samplesize.d.Rd
man/rpsychi-package.Rd
man/r2cov.Rd
man/power.t.Rd
man/power.r.Rd
man/power.prop.Rd
man/power.multi.Rd
man/power.f2.Rd
man/power.f.Rd
man/multreg.second.Rd
man/multreg.Rd
man/md.pattern2.Rd
man/lower2R.Rd
man/ind.twoway.second.Rd
man/ind.twoway.Rd
man/ind.t.test.second.Rd
man/ind.t.test.Rd
man/ind.prop.second.Rd
man/ind.prop.Rd
man/ind.oneway.second.Rd
man/ind.oneway.Rd
man/groupSummary.Rd
man/formatted.Rd
man/FNONCT.Rd
man/dep.t.test.second.Rd
man/dep.t.test.Rd
man/dep.oneway.second.Rd
man/dep.oneway.Rd
DESCRIPTION
rpsychi documentation built on May 19, 2017, 10:41 a.m.

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