Hi
>
> how do I plot only the data below 10? everything is white for the 0-10
and
> 10-90 is black ..
What data below 10? I do not see any. You posted some mails before but I
do not keep all mails from R. Only those which helped me somehow.
Basically
x <- sample(1:100, 100, raplace=TRUE)
x[x
how do I plot only the data below 10? everything is white for the 0-10 and
10-90 is black ..
those functions which do this?
was bad for such basic questions, but I started tinkering with R is 6 days
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Hi
what is wrong with
heatmap(as.matrix(test), col=my.colors(25))
with test from your dput
Regards
Petr
> The heat map generated the correct result:
>
> library(gplots)
> arq <-read.table("l")
> matrix_l <-data.matrix(arq)
> my.colors <-
> colorRampPalette(c
>
("gray0","gray10","gray20","gr
as was follows:
library(gplots)
arq <-read.table("r")
matrix_l <-data.matrix(arq)
pdf("heatmap.pdf", height = 10 , width=10)
#paleta de 10 cores - sentido branco -> preto
my.colors <-
colorRampPalette(c("gray100","gray90","gray80","gray70","gray60","gray50","gray40","gray30","gray20","gray10"))
h
last doubts, how do I remove these trace that sits on top of colors?
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R-help@r-project.org m
I think it worked here, the data of 25 families are wrong, I'll pack up and
post already! earned
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The heat map generated the correct result:
library(gplots)
arq <-read.table("l")
matrix_l <-data.matrix(arq)
my.colors <-
colorRampPalette(c("gray0","gray10","gray20","gray30","gray40","gray50","gray60","gray80","gray90","gray100
I just do not understand what these parameters that must pass the heat map
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R-help@r-project
I would leave my table as a heatmap where darker colors represent higher
similarity, and the lighter colors represent less level of similarity.
I'm using version 2.11 of R.
I once used this code, maybe it will help you:
#dendogram
plot(dendro15, labels = cellType) ### I first made a dendrogra
Hi
>
> >arq <-read.table("file")
> > arq_matrix <-data.matrix(arq)
Are you sure that arg_matrix is numeric? Did you check it somehow?
> >dput(arq)
You forgot to include dput(arg) result. Without that only you know what
arg is.
> > arq_heatmap <- heatmap(arq_matrix, Rowv = NA, Colv = NA,col
>arq <-read.table("file")
> arq_matrix <-data.matrix(arq)
>dput(arq)
> arq_heatmap <- heatmap(arq_matrix, Rowv = NA, Colv = NA,col = heat.colors
> (256), scale = "column", margins =c(5,10))
dput done with this command, but still gave the same ..
I do it before generating the heatmap?
would be
this would be the same, like, I need color higher for larger numbers, type,
variations of 5 om 5, for example, 0 is white, a little darker 1-5, 6-10
darker still, and so on ...
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I used only these three command lines in R
>arq <-read.table("file")
> arq_matrix <-data.matrix(arq)
> arq_heatmap <- heatmap(arq_matrix, Rowv = NA, Colv = NA,col = cm.colors
> (256), scale = "column", margins =c(5,10))
Excuse me if poorly written, because I'm Brazilian
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Hello,
Please read the posting guide, like this it's difficult for us to give a
sensible an answer. In particular,
1. Use R syntax, your "table" seems to be a "matrix" or "data.frame". Which
is it?
2. Post your data using dput(). Just copy it's output and paste it in here,
then,
we'll beble t
I would like to organize my data as follows:
I have a table that contains various data, and the numbers represent a level
of similarity between these data,
eg RF00013 has 100% similarity with the data RF00014.
I would leave my table as a heatmap where darker colors represent higher
similarity, a
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