Hi Ek,
I think you want your example to look like this:
Sample<-read.table(text=
"Num Color Grade Value Month Day
1 yellow A 20 May 1
2 green B 25 June 2
3 green A 10 April 3
4 black A 17 August 3
5 red C 5 December 5
6 orange D 0 January 13
7 orange E 12 January 5
8 orange F 11 February 8
9
Have you tried R-GUI, in the R-distribution available below?
https://cran.r-project.org/bin/macosx/
Here's a similar question on SO:
http://stackoverflow.com/questions/13476736/r-lapack-routines-cannot-be-loaded
HTH, Bill.
William Michels, Ph.D.
On Tue, May 2, 2017 at 11:51 AM, Assa
Suggestions...
Post plain text (you reduce your own chances of getting feedback by failing to
do this in your email program)
Provide sample data and code
Buy more RAM
use data.table package and fread
load and analyze subsets of data
Put the data into a database (e.g. sqlite?)
If these
There's a lot that doesn't make sense here. I think what you need to do is
produce a small, reproducible example, post that with dput() and state your
question more clearly - including what you have tried and what didn't work.
You'll probably be amazed how quickly you will get good advice if
HI,I am unable to read a 2.4 gig file into a table (using read.table) in a 64
bit R environment. Do you have any suggestions?Amit
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Hi,
I am running R under Rstudio for the analysis of single-cell RNA-Seq data.
When trying to analyse some data I keep getting the message
> slicer_traj_lle <- lle(t(deng[slicer_genes,]), m = 2, k)$Y
finding neighbours
calculating weights
Error in eigen(G, symmetric = TRUE, only.values = TRUE)
Hi,I was unable to read a 2.4 gig file into an R object using read.table in 64
bit R environment. Please let me have your suggestions.Amit Sengupta
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I have a huge data file; a sample is listed below. I am using the package
data table to process the file and I am stuck on one issue and need some
feedback. I used fread to create a data table. Then I divided the data
table (named File1) into 10 general subsets using common table commands
such as:
The answer is yes. However there are quite a few online resources (including
blogs and the CRAN Spatial Task View and vignettes for packages mentioned
there) that describe various tools and step you through how to do this, and you
have not provided a reproducible example, and there is a whole
Look more carefully at y. If this is a factor, please note what is the
first (reference) level and what the second. This determines the rule,
not the value of the first observation.
Best,
Uwe Ligges
On 02.05.2017 07:25, Daniel Jeske wrote:
Hello -
I have noticed that when I run svm() the
are you able to install anything from github? like
devtools::install_github( "hadley/dplyr" )
On Tue, May 2, 2017 at 9:36 AM, wrote:
> unfortunately it failed with the installation of lodown:
>
>> devtools::install_github("ajdamico/lodown")
>>
> Downloading
Ah, that works! Thank you!
From: PIKAL Petr
Sent: Tuesday, May 2, 2017 7:56:33 AM
To: C W; r-help
Subject: RE: [R] How create columns for squared values from previous columns?
Hi
you can use data.frame
data.frame(dat, dat[,1:3]^2)
and
Hi
you can use data.frame
data.frame(dat, dat[,1:3]^2)
and you can set names afterwards by names function.
Cheers
Petr
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of C W
> Sent: Saturday, April 29, 2017 3:22 AM
> To: r-help
Hello -
I have noticed that when I run svm() the order of my data matters. If the
first case in the data frame has y=+1 I get the expected decision rule that
says to classify as +1 if f(x)>0. However, if the first case in the data
frame has y=-1 then apparently the decision rule being used says
I have a grid data which has values of a variable (e.g: Temperature). My
data has 6069 data points where each data point refers to different
latitude and longitude. I want to transform this data to a raster file so
that I can clip it according to a shapefile that has much smaller
boundaries than
Thanks all for the clarification!
From: Jeff Newmiller
To: r-help@r-project.org; Bert Gunter ; array chip
Cc: "r-help@r-project.org"
Sent: Monday, May 1, 2017 10:53 AM
Subject: Re: [R]
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