tabstat: Compact Table of Summary Statistics

In brad-cannell/bfuncs: This Repository Is A Random Smattering Of Functions I Wrote For Myself - You Can Use Them Too

Description

Based on Stata's "tabstat" command. "tabstat displays summary statistics for a series of numeric variables in one table. It allows you to specify the list of statistics to be displayed. Statistics can be calculated (conditioned on) another variable. tabstat allows substantial flexibility in terms of the statistics presented and the format of the table" (Stata, 2016).

Usage

tabstat(x, digits = 3, stats = "default")

Arguments

x	A continuous variable.
digits	Rounds the values returned to the specified number of decimal places (default 3).
stats	Return specified statistics. Options include: n Count of nonmissing values of x nmiss Count of missing values of x ci 95 percent confidence interval for the mean of x sum Sum of x max Maximum value of x min Minimum value of x range (Maximum value of x) - (minimum value of x) sd Standard deviation of x var Variance of x cv Coefficient of variation (sd / mean) of x sem Standard error of the mean of x skew Skewness of x kurt Kurtosis of x p1 1st percentile of x p5 5th percentile of x p10 10th percentile of x p25 25th percentile of x p50 Median value of x median Median value of x p75 75th percentile of x p90 90th percentile of x p95 95th percentile of x p99 99th percentile of x iqr Interquartile range (p75 - p25) q Equivalent to specifying p25 p50 p75

Value

A data frame. By default, the data frame contains the variable name and mean.

References

Stata 14 help for tabstat http://www.stata.com/help.cgi?tabstat

Examples

data(mtcars)

# Single univariate analysis with Defaults
tabstat(mtcars$mpg)

# Single univariate analysis with all stats
tabstat(mtcars$mpg, stats = c("n", "nmiss", "ci", "sum", "max", "min",
"range", "sd", "var", "cv", "sem", "skew", "kurt", "p1", "p5", "p10",
"p25", "p50", "median", "p75", "p90", "p95", "p99", "iqr", "q"))

brad-cannell/bfuncs documentation built on July 21, 2019, 10:45 a.m.