Closed joon-e closed 3 years ago
I totally agree with @MarHai - great package. Could you add
LowerCI95 = .data$M - qt(0.975,df=.data$N-1) .data$SD/sqrt(.data$N) UpperCI95 = .data$M + qt(0.975,df=.data$N-1) .data$SD/sqrt(.data$N)
to the describe function?
I know there are many more ways to compute CIs such as in
https://www.rdocumentation.org/packages/rcompanion/versions/2.3.25/topics/groupwiseMean
Thanks, Jens
Originally posted by @vogelgesang in https://github.com/joon-e/tidycomm/issues/11#issuecomment-601646398
I can't see why not, so this will be added in the next update.
I totally agree with @MarHai - great package. Could you add
LowerCI95 = .data$M - qt(0.975,df=.data$N-1) .data$SD/sqrt(.data$N) UpperCI95 = .data$M + qt(0.975,df=.data$N-1) .data$SD/sqrt(.data$N)
to the describe function?
I know there are many more ways to compute CIs such as in
https://www.rdocumentation.org/packages/rcompanion/versions/2.3.25/topics/groupwiseMean
Thanks, Jens
Originally posted by @vogelgesang in https://github.com/joon-e/tidycomm/issues/11#issuecomment-601646398