sjt.grpmean: Summary of grouped means as HTML table

Description

Computes mean, sd and se for each sub-group (indicated by varGrp) of varCount and prints the result as HTML table.

Usage

sjt.grpmean(varCount, varGrp, weightBy = NULL, rowLabels = NULL,
  digits = 2, digits.summary = 3, file = NULL, encoding = NULL,
  CSS = NULL, useViewer = TRUE, no.output = FALSE, remove.spaces = TRUE)

Arguments

Value

Invisibly returns a list with

the data frame with the description information (df),
the web page style sheet (page.style),
the web page content (page.content),
the complete html-output (output.complete) and
the html-table with inlin-css for use with knitr (knitr)

for further use.

Details

This function performs a One-Way-Anova with varCount as dependent and varGrp as independent variable, by calling lm(varCount ~ as.factor(varGrp)), to get p-values for each sub-group and the complete "model". Thus, p-values indicate whether each group-mean is significantly different from the reference group (reference level of varGrp). Statistics like mean values are based on subsetted groups (i.e. varCount is divided into sub-groups indicated by varGrp). Furthermore, see 'Details' in sjt.frq.

Examples

Run this code

library(sjmisc)
data(efc)
sjt.grpmean(efc$c12hour,
            efc$e42dep)