AK: Thanks, that was very helpful. It led me to think of the function
names(base) which provided the vector of names in the correct order. I
then used the same matrix formatting and everything worked out exactly
as planned.
Dick
On 9/28/2012 1:09 AM, arun kirshna [via R] wrote:
>
>
> HI,
> May be this helps you:
> set.seed(1)
> mat1<-matrix(rnorm(60,5),nrow=5,ncol=12)
> colnames(mat1)<-paste0("Var",1:12)
> vec2<-format(c(1,cor(mat1[,1],mat1[,2:12])),digits=4)
> vec3<-colnames(mat1)
> arr2<-array(rbind(vec3,vec2),dim=c(2,3,4))
> res<-data.frame(do.call(rbind,lapply(1:dim(arr2)[3],function(i)
> arr2[,,i])))
> res
> # X1 X2 X3
> #1 Var1 Var2 Var3
> #2 1.00000 0.27890 -0.61497
> #3 Var4 Var5 Var6
> #4 0.24916 -0.76155 0.30853
> #5 Var7 Var8 Var9
> #6 -0.46413 0.79287 0.05191
> #7 Var10 Var11 Var12
> #8 -0.06940 -0.53251 0.06766
>
> A.K.
>
>
> ----- Original Message -----
> From: rkulp <[hidden email]
> </user/SendEmail.jtp?type=node&node=4644469&i=0>>
> To: [hidden email] </user/SendEmail.jtp?type=node&node=4644469&i=1>
> Cc:
> Sent: Thursday, September 27, 2012 6:26 PM
> Subject: [R] List of Variables in Original Order
>
> I am trying to Sweave the output of calculating correlations between one
> variable and several others. I wanted to print a table where the
> odd-numbered rows contain the variable names and the even-numbered rows
> contain the correlations. So if VarA is correlated with all the
> variables in
> mydata.df, then it would look like
>
> var1 var2 var3
> corr1 corr2 corr3
> var4 var5 var6
> corr4 corr5 corr6
> .
> .
> etc.
> I tried using a matrix for the correlations and another one for the
> variable
> names. I built the correlation matrix using
> x = matrix(format(cor(mydata.df[,1],mydata.df[,c(2:79)]),digits=4),nc=3)
> and the variable names matrix using
> y = matrix(ls(mydata.df[c(2:79)]),nc=3).
> The problem is the function ls returns the names in alphabetical order,
> columnar order.
> How do I get the names in columnar order? Is there a better way to
> display
> the correlation of a single variable with a large number of other
> variables?
> If there is, how do I do it? I appreciate any help I can get. This is my
> first project in R so I don't know much about it yet.
>
>
>
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