Listers,
I have created a cross-tab matrix using the following code:
S <-
c(1,2,3,1,2,3,1,2,3,1,2,3,1,2,3,1,2,3,1,2,3,1,2,3,1,2,3,1,2,3,1,2,3,1,2,3,1,2,3,1,1,2,3,1,1,2,3,1,2,2)
F <-
c(1,2,3,1,2,3,1,1,1,1,2,3,1,1,3,2,2,2,1,2,3,1,1,1,1,2,3,3,1,3,1,3,1,1,2,3,1,1,3,2,3,2,1,1,1,2,3,1,1,2)
table(S,F)
f
Listers,
I have a question regarding correlation matrices. It is fairly straight
forward to build a correlation matrix of an entire data frame. I simply use
the command cor(MyDataFrame). However, what I would like to do is construct
a smaller correlation matrix using just three of the variable out
On Sun, Feb 20, 2011 at 5:55 PM, Dmitry Berman wrote:
> Listers,
>
> I have a simple matrix:
>
> --
> m <-c(1:7)
> m <- cbind(m)
>
> m
> [1,] 1
> [2,] 2
> [3,] 3
> [4,] 4
> [5,] 5
> [6,] 6
> [7,] 7
> -
Listers,
I have a simple matrix:
--
m <-c(1:7)
m <- cbind(m)
m
[1,] 1
[2,] 2
[3,] 3
[4,] 4
[5,] 5
[6,] 6
[7,] 7
---
I want to add a second column using:
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Listers,
Is there a command/function to get the population standard deviation (N) and
the sample standard deviation (n-1)
Thanks
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