but, df1 is the row and column? As the call to dput defni them?
eh my script this, but where I put these lines to order?
library(gplots)
arq <-read.table("table")
matrix_l <-data.matrix(arq)
pdf("heatmap.pdf", height = 10 , width=10)
#paleta de 10 cores - sentido branco -> preto
my.colors <-
c
manipulating data in heatmap,
have the following data:
RF00505 RF00232 RF00493 RF00231
RF00505100.00 20.00 0.00 0.00
RF00232100.00 00.00100.00 100.00
RF00493100.00 60.00100.00 33.33
RF0023
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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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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http://r.789695.n4.nabble.com/file/n4621356/Captura_de_tela-13.png
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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>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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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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