On 29/04/17 13:21, C W wrote:
I came up with this solution,
cbind(dat, dat[, 1:3]^2)
X1 X2 X3 X4 X5 X1
X2 X3
1 0.72776481 -1.1332612 -1.9857503 0.46189400 -0.09016379 0.529641625
1.28428102 3.9432044
2 0.05126592 0.2858707 0.9075806 1.27582713 -0.49438507 0.002628194
0.08172203 0.8237026
3 -0.40430146 0.5457195 -1.1924042 0.15025594 1.99710475 0.163459669
0.29780978 1.4218277
4 1.40746971 -1.2279416 0.3296075 0.84411774 -0.52371619 1.980970990
1.50784058 0.1086411
5 -0.53841150 0.4750082 -0.4705148 0.05591914 -0.31503500 0.289886944
0.22563275 0.2213842
6 0.90691210 0.7247171 0.8244184 0.73328097 -1.05284737 0.822489552
0.52521494 0.6796657
But, you would NOT ONLY get undesired variable names, BUT ALSO duplicated
names. I suppose I can use paste() to solve that?
Any better ideas?
Well, if the names bizzo is your only worry, you could hit the result
with data.frame() *after* cbinding on the squared terms:
dat <- matrix(rnorm(30),ncol=5)
dat <- cbind(dat,dat[,1:3]^2)
dat <- data.frame(dat)
names(dat)
And as you indicate, the names of a data frame are easily adjusted.
I wouldn't lose sleep over it.
cheers,
Rolf Turner
P.S. You could also do
names(dat) <- make.unique(names(dat))
to your original idea, to get rid of the lack of uniqueness. The result
is probably "undesirable" but.
R. T.
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Department of Statistics
University of Auckland
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