Hi,
First of all, sorry for my question it could be so basic for a common user in R,
but I am starting with this new environment.
I have done a clustering job and I would like to visualize my vectors. I have a
matrix of TF-IDF weights of 4602 x 1817. I store the values in a CSV file. How
can I visualize my vectors in a 2D-space?
After that, I execute a clustering algorithm and I got a label for each cluster.
How can I visualize my vectors resulting base on a color or figure for each
cluster?
This is the code that I am having trying to accomplish my graphs:
data <- read.csv(pathFile,header = FALSE, sep = ",?)
dMatrix <- matrix(unlist(data), ncol = 4602, byrow = TRUE) # Use a matrix to
use melt.
# Graph my data
ggplot(melt(dMatrix), aes(Var1,Var2, fill=value)) + geom_raster() +
scale_fill_gradient2(low='red', high=?black', mid=?white') +
theme_bw() + xlab("x1") + ylab("x2")
Cheers.
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Hi Francisco, I tried this just to see if it would work. It did, after a while. wtmat<-matrix(rnorm(4602*1817),nrow=4602) library(plotrix) x11(width=5,height=13) color2D.matplot(wtmat,c(1,1,0),c(0,1,0),0,border=FALSE) Jim On Fri, Jun 10, 2016 at 8:27 AM, FRANCISCO XAVIER SUMBA TORAL <xavier.sumba93 at ucuenca.ec> wrote:> Hi, > > First of all, sorry for my question it could be so basic for a common user in R, but I am starting with this new environment. > > I have done a clustering job and I would like to visualize my vectors. I have a matrix of TF-IDF weights of 4602 x 1817. I store the values in a CSV file. How can I visualize my vectors in a 2D-space? > > After that, I execute a clustering algorithm and I got a label for each cluster. How can I visualize my vectors resulting base on a color or figure for each cluster? > > This is the code that I am having trying to accomplish my graphs: > > data <- read.csv(pathFile,header = FALSE, sep = ",?) > dMatrix <- matrix(unlist(data), ncol = 4602, byrow = TRUE) # Use a matrix to use melt. > # Graph my data > ggplot(melt(dMatrix), aes(Var1,Var2, fill=value)) + geom_raster() + scale_fill_gradient2(low='red', high=?black', mid=?white') + theme_bw() + xlab("x1") + ylab("x2") > > > Cheers. > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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.
Hi Jim, Thanks for your answer. I try your code example, but it is basically the same that I had it. I want to visualise my matrix something like this image: With the graphics that I already have is difficult to visualise my data. I am getting this results: 1) With my first code, I got this: 2) With Jim?s code. I got this: Ho can I make my graphs more observable as in the first figure? My graphs shows points as if my screen was dirty. Cheers.> On Jun 10, 2016, at 04:39, Jim Lemon <drjimlemon at gmail.com> wrote: > > Hi Francisco, > I tried this just to see if it would work. It did, after a while. > > wtmat<-matrix(rnorm(4602*1817),nrow=4602) > library(plotrix) > x11(width=5,height=13) > color2D.matplot(wtmat,c(1,1,0),c(0,1,0),0,border=FALSE) > > Jim > > On Fri, Jun 10, 2016 at 8:27 AM, FRANCISCO XAVIER SUMBA TORAL > <xavier.sumba93 at ucuenca.ec> wrote: >> Hi, >> >> First of all, sorry for my question it could be so basic for a common user in R, but I am starting with this new environment. >> >> I have done a clustering job and I would like to visualize my vectors. I have a matrix of TF-IDF weights of 4602 x 1817. I store the values in a CSV file. How can I visualize my vectors in a 2D-space? >> >> After that, I execute a clustering algorithm and I got a label for each cluster. How can I visualize my vectors resulting base on a color or figure for each cluster? >> >> This is the code that I am having trying to accomplish my graphs: >> >> data <- read.csv(pathFile,header = FALSE, sep = ",?) >> dMatrix <- matrix(unlist(data), ncol = 4602, byrow = TRUE) # Use a matrix to use melt. >> # Graph my data >> ggplot(melt(dMatrix), aes(Var1,Var2, fill=value)) + geom_raster() + scale_fill_gradient2(low='red', high=?black', mid=?white') + theme_bw() + xlab("x1") + ylab("x2") >> >> >> Cheers. >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see >> 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.