Hi,
I have a comma separated file with element names in first column like shown
below :
Name_1,0
Name_2,0.8878,0
Name_3,0.6777,0.7643,0
Name_4,0.9844,0.1234,0.1414,0
Original data is a 10000x10000 symmetric matrix (600 MB). To reduce file
size, I have minimized matrix to only lower triangle. Is there a (memory)
efficient way to 1) read file 2) compute first and second principal
components and 3) and plot first vs second PC's ?
In the past, I could do this by :
b <- read.csv("distance.csv", sep=",", head=F) # distance.csv file is
complete data matrix, so this command worked !!
my_matrix <- data.matrix(b)
pca2 <- princomp(my_matrix)
plot(pca2$scores[,1],pca2$scores[,2])
text(pca2$scores[,1],pca2$scores[,2],rownames(nba_matrix), cex=0.5, pos=1)
This time, I don't have a complete file. So, I was wondering, how to do this
?
Any help is much appreciated
TIA
M
--
View this message in context:
http://r.789695.n4.nabble.com/Principal-componet-plot-from-lower-triangular-matrix-file-tp4114840p4114840.html
Sent from the R help mailing list archive at Nabble.com.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
