README.md

In mcfanda/StatWriter: Writer helper

StatWriter

R package to help writing reproducible research

Introduction

statwriter can be used when working with Rmarkdown to speed up writing papers and statistical reports that can be reproduced easely by others. It gives a series of function that extract common statistics and output then in a nice way. An experimental features writes also results in natural language adapting them to the results.

Example

(see the help for more)

First command is r ruminate(), which print out the description of a variable or a table in a sensible way depending on the class of the variable.

rmarkdown

library(statwriter)

# a numeric variable 
x<-rnorm(100,0,1)
# factors
a<-factor(rep(1:2,15))
levels(a)<-c("Yellow","Green")


b<-factor(rep(1:2,35))
levels(b)<-c("male","female")

The data included the variable x ( `r ruminate(x)` ). Stimuli were `r ruminate(a)` , participants' were `r ruminate(b,plural=T)`

(lots more to add here)

Compiled pdf

The data included the variable x (M=0.05, SD=1.05). Stimuli were 15 yellow, 15 green , participants' were 35 males, 35 females ...

mcfanda/StatWriter documentation built on May 22, 2019, 3:01 p.m.