Hi R users,
My question is, If I have 3 groups, A, B, C and I know mean of A =20, B=21, and
C=20.5 and I also know the
standard error of A =1.1, B=2.2, C=3.2. Plus, I know A has 30 observations, B
has 78, C has 45. But I do not have the raw data.
Can I use pairwise.t.test to conduct a
Hi Patrick,
Thank you for your hint. I got it works.
x-1:3
result-ifelse(test=outer(X=x,Y=x,FUN=), yes=Big,
+ ifelse(test=outer(X=x,Y=x,FUN=), yes=Small, Equal))
result
[,1][,2][,3]
[1,] Equal Small Small
[2,] Big Equal Small
[3,] Big Big Equal
Hi Ted,
I strongly recommend a book: S programming by W.N Venables and B.D Ripley ISBN:
0387-989668
It is easy to read. I love this book so much. Maybe someone has better idea.
Super
Chunhao
Date: Mon, 23 Feb 2009 04:56:18 -0800
From: zengzhenx...@gmail.com
To:
Hi Tony,
I GUESS my.df[-DrHorrible] does not tell R which column NUMBER would like
to remove.
As we know, we could use my.df[-4] and it exactly tells R which column must
remvoer from your data.
my.df[-4]
Angel Buffy Firefly
1 7 8 9
2 8 9 9
3 6 4 10
Hi R users,
I did do the research and work on for hours, but I still don't know how to
solve my silly problem. I try to creat a new variable in my dataset.
such as if diet==C vesl==P then trt=CP; if diet==C vesl==A
then trt=CA;. The following is my code (It does not work correctly).
Hi R users,I have a question about augmented prediction plot (?augPred). The
covariate of my data set is c(0, 0.01, 0.1, 1, 10, 100, 1000) and I have fitted
a nonlinear mixed effects model.I use plot(augPred(out.nlme)) to get the
augmented prediction plot. However, because the scale of
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