nderstand what we are doing:
?read.table
?rownames
?as.dist
?dput
?as.numeric
?attributes
?dist
?plot
?Extract (to understand what the "$" is all about.
David L Carlson
Department of Anthropology
Texas A University
College Station, TX 77843-4352
Hi Myriam,
This may not be the ideal way to do this, but I think it works:
mcdf<-read.table(text="41540 41540 41442 41599 41709 41823 41806 41837
41898 41848
41442 0.001
41599 0.002 0.001
41709 0.004 0.003 0.003
41823 0.002 0.001 0.002 0.001
41806 0.004 0.004 0.005 0.006 0.005
41837 0.004 0.004
Hello!
I need your help to plot my data. I have a file .csv which looks like that:
41540 41540 41442 41599 41709 41823 41806 41837 41898 41848
41442 0.001
41599 0.002 0.001
41709 0.004 0.003 0.003
41823 0.002 0.001 0.002 0.001
41806 0.004 0.004 0.005 0.006 0.005
41837 0.004 0.004 0.005 0.006
Hi,
I have a 2 dimensional matrix with RGB values and would like to plot it as a
two dimensional surface.
I am aware of functions like image() that plot a matrix of values as a grid of
coloured rectangles.
But I can not directly feed in the specific color value for each of these
rectangles,
There is ?rasterImage which can take a matrix of hex values, or a 3D array
of individual colour dimension values in RGB. It's pretty low-level, used
to add to an existing plot. The ancient ?image function leverages this
facility if you use "useRaster = TRUE".
The "raster" package (no relation),
Hi all,
I am having 4 vectors like
Data: num [1:4, 1:32] -82.8 -81.8 -75.5 -107.6 -87.6 ...
and I want to calculate the correlation between those.
Is there a graphical way in R to plot the correlations or not?
I would like to thank you in advance for your help
Regards
Alex
You could try the corrgram or corrplot packages.
kw
On Mon, Oct 21, 2013 at 9:45 AM, Alaios ala...@yahoo.com wrote:
Hi all,
I am having 4 vectors like
Data: num [1:4, 1:32] -82.8 -81.8 -75.5 -107.6 -87.6 ...
and I want to calculate the correlation between those.
Is there a graphical
On 10/22/2013 01:45 AM, Alaios wrote:
Hi all,
I am having 4 vectors like
Data: num [1:4, 1:32] -82.8 -81.8 -75.5 -107.6 -87.6 ...
and I want to calculate the correlation between those.
Is there a graphical way in R to plot the correlations or not?
I would like to thank you in advance for
You are good!
Many thanks
Alex
From: Dennis Murphy djmu...@gmail.com
Cc: R help R-help@r-project.org
Sent: Saturday, February 16, 2013 3:11 AM
Subject: Re: [R] Plot a Matrix as an Image with ggplot
Hi:
See if the following works for you:
library(reshape2
- Original Message -
From: Dennis Murphy djmu...@gmail.com
To: Alaios ala...@yahoo.com
Cc:
Sent: Friday, February 15, 2013 10:19 AM
Subject: Re: [R] Plot a Matrix as an Image with ggplot
Your aesthetic is fill, not color. Change scale_color_gradient to
scale_fill_gradient and you'll get what you expect
: Re: [R] Plot a Matrix as an Image with ggplot
Your aesthetic is fill, not color. Change scale_color_gradient to
scale_fill_gradient and you'll get what you expect.
D.
On Thu, Feb 14, 2013 at 11:31 PM, Alaios ala...@yahoo.com wrote:
Hi,
thanks
I changed slightly the code to be reproducible
Dear all,
I am trying to plot a matrix I have as an image
str(matrixToPlot)
num [1:21, 1:66] 0 0 0 0 0 0 0 0 0 0 .
that contains only 0s and 1s,
where the xlabel will be Labeled as
str(xLabel)
num [1:66] 1e+09 1e+09 1e+09 1e+09 1e+09 ...
and the yLabels will be labeled as
str(yLabel)
to post only in
text. HTML etc is automatically dropped.
John Kane
Kingston ON Canada
-Original Message-
From: ala...@yahoo.com
Sent: Thu, 14 Feb 2013 07:15:05 -0800 (PST)
To: r-help@r-project.org
Subject: [R] Plot a Matrix as an Image with ggplot
Dear all,
I am trying to plot
: RE: [R] Plot a Matrix as an Image with ggplot
The R-help list is rather picky about what attached. None of your attachments
arrived.
The str() info is useful but please supply some sample data
The easiest way to supply data is to use the dput() function. Example with
your file named
Hi,
I want to plot this matrix (I attach the data), it is suposed that each
column is a different time series.
If I do
g-read.table(dataADF.txt, header=F)
and
plot(g[,1],type=l)
it plots the first column plot if I want in a unique graph each colums of
dataA, all in one. How should I
You can use lines() to add additional lines to your plot.
Sarah
On Sun, May 6, 2012 at 11:39 AM, Trying To learn again
tryingtolearnag...@gmail.com wrote:
Hi,
I want to plot this matrix (I attach the data), it is suposed that each
column is a different time series.
If I do
On Sun, May 6, 2012 at 11:39 AM, Trying To learn again
tryingtolearnag...@gmail.com wrote:
Hi,
I want to plot this matrix (I attach the data), it is suposed that each
column is a different time series.
If I do
g-read.table(dataADF.txt, header=F)
and
plot(g[,1],type=l)
it plots the
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
project.org] On Behalf Of Gabor Grothendieck
Sent: Sunday, May 06, 2012 12:16 PM
To: Trying To learn again
Cc: r-help@r-project.org
Subject: Re: [R] PLot a matrix
On Sun, May 6, 2012 at 11:39 AM, Trying
for data.frame: for(j in grep('Laser_', names(m)) lines(m[,j])
for matrix: for(j in grep('Laser_', colnames(m)) lines(m[,j])
or
for(j in 2:4) lines(m[,j])
Shorter could be worse if you insert additional columns later.
--
View this message in context:
for data.frame: for(j in grep('Laser_', names(m)) lines(m[,j])
for matrix: for(j in grep('Laser_', colnames(m)) lines(m[,j])
or: for(j in 2:4) lines(m[,j])
Shorter could be worse if you insert additional columns later.
alcesgabbo wrote:
Hi,
I have the following matrix (named
Hi,
I have the following matrix (named m):
key
sensor_date Laser_1 Laser_2
Laser_3
2010-09-30T15:00:12+020063
1
2010-10-31T15:05:07+0100
On 12/01/2010 02:43 PM, alcesgabbo wrote:
I plot the first column with the following function:
plot(m[,1],type=o, xaxt=n,ylim=c(min(m[,1:length(colnames(m))])-1,
max(m[,1:length(colnames(m))])+1))
for the other columns I use there functions:
lines(m[,2],type=\o\)
lines(m[,3],type=\o\)
ok,
Hi,
I have this MATRIX m:
key
index sensor1.A sensor1.B sensor2.A sensor2.B sensor3.A
2010-10-1 7:32:00 8NA 5NA 2
2010-10-3 4:33:21NA 3NA 2 1
2010-10-5 7:32:00NA 4
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