Man pages for jknowles/datasynthR
Generate synthetic data with known properties, on demand.

anyInfIdentify if any infinite values are present in a vector
cullCut out duplicate values in a dataframe
dimNACalculate missingness in a data.frame
gammaGKEstimate the Goodman and Kruskal gamma statistic
genBinomialDVGenerate a binomial dependent variable
genFactorGenerate a dataframe of unordered factors with known...
genFormulaGenerate model matrix terms
genNumericGenerate a dataframe of numeric variables with known...
MAR.dfAssign NAs to columns in a dataframe at random
MCARcheckAre missing values in two vectors correlated?
MCARcheck.dfTest correlation of missingness for all pairwise combinations...
MCAR.dfAssign NAs to columns in a dataframe completely at random
MCARplotMCAR Plot
MCARxAssign NAs to a vector randomly
rbinomcorGenerate a vector from a binomial distribution correlated...
rchisqcorGenerate a vector from a chi-square distribution correlated...
rgammacorGenerate a vector from a Gamma distribution correlated with...
rlnormcorGenerate a single variable from a distribution correlated...
rnegbinomcorGenerate a vector from a negative binomial distribution...
rnormcorGenerate a single variable from a distribution correlated...
rnormcorVGenerate a vector from a normal distribution correlated with...
rpoiscorGenerate a vector from a Poisson distribution correlated with...
runifcor.corGenerate a vector from a uniform distribution correlated with...
rweibullcorGenerate a vector from a Weibull distribution correlated with...
summary.MCARcheckSummary for MCAR checks
vecInfSearchCount the proportion of Inf values in a vector
vecNAsearchCount the proportion of NA values in a vector
jknowles/datasynthR documentation built on May 19, 2019, 11:42 a.m.