This R package can put lm objects directly into a table that is compliant with the latest reporting practice in psych journals. In short, this package generates regression table from lm objects in R, compliant with the latest reporting practice for psych journals. It includes p value at 3 decimal points, 95% confidence interval, effect size in partial eta square, and standardized estimates. https://github.com/baixx062/regtable
In case you are not familiar with R. Just type the following code to install and load it
library("devtools")
install_github("baixx062/regtable",force=TRUE)
library("regtable")
Here is an example for how to use it:
library(car)
a<-lm(mpg~cyl+disp+drat*wt,data=mtcars)
regtable(a,"tableresults.csv")
The output looks like the one in the screenshot here
In case you are not familiar with R. Just type the following code to install and load it
library("devtools")
install_github("baixx062/regtable",force=TRUE)
library("regtable")
Here is an example for how to use it:
library(car)
a<-lm(mpg~cyl+disp+drat*wt,data=mtcars)
regtable(a,"tableresults.csv")
The output looks like the one in the screenshot here
