Hi,
I am new to R and i am not sure if i am doing something wrong.
I have a table with 4500x24 (rowsxcols) elements. The rows are data
related to each one of the individuals (A,B,C...) located on the
columns.
Example:
A B C D E F
1 5.651296 5.480589 4.253070 3.515593 6.045253 5.916222
4.181060
2 9.402882 10.007563 9.838700 9.541653 9.968853 10.058527
9.988849
3 9.619392 10.358489 9.253168 10.295971 9.478020 9.574001
9.700798
4 12.727904 12.624954 12.945821 12.948913 12.703855 12.817992
12.909623
5 9.713688 10.057340 9.380006 9.722916 9.590145 9.237900
9.224427
6 11.329047 11.403621 12.555482 11.830408 11.479372 13.035209
14.550555
What i want to do is to make a PCA and plot the 3 principal components
into a 3D graphic for each one of the individuals.
This is what i am doing:
data <- read.table("data.txt", header=TRUE)
pca <- prcomp(data)
summary(pca)
this gives me 24 columns wiht PC1 to PC24
Now i want to plot only the PC1, PC2 and PC3
rp.plot3d(pca[,1],pca[,2],pca[,3])
this give an error "incorrect number of dimensions"
If i make this instead:
pca.sam <- pca$x
rp.plot3d(pca.sam[,1],pca.sam[,2],pca.sam[,3])
It works, but it shows 4500 points and i only want the 24 points
related to my columns.
Any idea how to do this?
Thanks
Thanks
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