Hi all,
I have a question about calculating a P for trend on my data. Let�s give an
example that is similar to my own situation first: I have a continuous outcome,
namely BMI. I want to investigate the effect of a specific medicine, let�s call
it MedA on BMI. MedA is a variable that is
Dear John and Peter,
Thank you both for your answers. I am going to try the solutions you gave me!
Thanks again,
Lisa
From: Fox, John
Sent: 23 November 2018 16:54:49
To: Lisa van der Burgh
Cc: r-help@R-project.org; peter dalgaard
Subject: RE: [R] Question
Hi Everyone,
I have a question about Mixed-Design Anova in R. I want to obtain Mauchly�s
test of Sphericity and the Greenhouse-Geisser correction. I have managed to do
it in SPSS:
GLM Measure1 Measure2 Measure3 Measure4 Measure5 Measure6 BY Grouping
/WSFACTOR=Measure 6 Polynomial
Thank you all for your help, it worked!
Op 23 mei 2018 om 19:27 heeft marta azores
<martazo...@gmail.com<mailto:martazo...@gmail.com>> het volgende geschreven:
Try that code
NewDF<-DF[!DF$Anxiolytics==1,]
2018-05-23 10:14 GMT+00:00 Lisa van der Burgh
<lisavdbu...@hotmail.c
Hi all,
I have a very general question and I think for you maybe very easy, but I am
not able to solve it.
I have a dataset and that dataset contains the variable Anxiolytics. This
variable is coded as 0, 1, 2. The variable looks as follows:
> summary(DF$Anxiolytics)
01 2
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