Displaying 20 results from an estimated 7000 matches similar to: "binary order combinations"
2005 Oct 13
1
expand.grid problem
Hi all,
I want to make all possible combination from dataset below:
V1 <- c(0,1,2)
V2 <- c(0,1)
V3 <- c(0,1)
V4 <- c(0,1)
V5 <- c(0,1)
V6 <- c(0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20)
V7 <- c(0,1,2,3,4,5,6)
V8 <- c(0,1)
V9 <- c(0,1)
V10 <- c(0,1)
V11 <- c(0,1)
V12 <- c(0,1)
V13 <- c(0,1)
V14
2009 Apr 04
1
Problem with sample()
Hi,
I'm having a problem using sample() within a function.
Basically I get an error reading:
Error in sample(v, 1, prob = h) : non-positive probability
Can anyone advise me as to the possible origin of this error?
Here is my code
#Discretised Gillespie algorithm function (From SMfSB, D.J. Wilkinson)
gillespied=function (N, T=100, dt=1, ...)
{
tt=0
n=T%/%dt
x=N$M
2012 Jul 05
1
Different level set when predicting with e1071's Naive Bayes classifier
Hi!
I'm using the Naive Bayes classifier provided by the e1071 package (
http://cran.r-project.org/web/packages/e1071) and I've noticed that the
predict function has a different behavior when the level set of the columns
used for prediction is different from the ones used for fitting. From
inspecting the predict.naiveBayes I came to the conclusion that this is due
to the conversion of
2015 Aug 22
3
sprintf error: "only 100 arguments allowed"
I'm trying to apply a function defined in the VW R docs, that attemps to
convert a data.table object to Vowpal Wabbit format. In the process i'm
getting the error in printf mentioned in the subject.
The original function is here:
https://github.com/JohnLangford/vowpal_wabbit/blob/master/R/dt2vw.R
Below there is a small example that reproduces the error. The function
works great with
2010 May 24
2
import data from a csv file
Hi all,
I have some trouble reading data from a csv file.
I used command "read.delim("clipboard") to read in the data.
> aalpha.data <- read.delim("clipboard")
> class(aalpha.data)
[1] "data.frame"
> dim(aalpha.data)
[1] 8 25
> colnames(aalpha.data)
[1] "X" "V1" "V2" "V3" "V4"
2015 Aug 26
1
sprintf error: "only 100 arguments allowed"
Wouldn't it make sense to have this in the man page?
The 8192-byte limitation for 'fmt' is mentioned but not this one.
Thanks,
H.
On 08/25/2015 02:08 AM, Prof Brian Ripley wrote:
> From the sources:
>
> #define MAXNARGS 100
> /* ^^^ not entirely arbitrary, but strongly linked to
> allowing %$1 to %$99 !*/
>
>
>
> On 22/08/2015 04:21, Martin
2013 Mar 18
2
Confirmatory factor analysis using the sem package. TLI CFI and RMSEA absent from model summary.
Hi R-help,
I am using the sem package to run confirmatory factor analysis (cfa) on some questionnaire data collected from 307 participants. I have been running R-2.15.3 in Windows in conjunction with R studio. The model I am using was developed from exploratory factor analysis of a separate dataset (n=439); it includes 18 items that load onto 3 factors. I have used the sem package documentation
2006 Feb 01
2
sort columns
Hi.
I have a simple (I think) question
My dataset have these variables:
names(data)
[1] "v1" "v2" "v3" "v4" "v5" "v6" "v7" "v8" "v9" "v10"
"v11" "v12" "v13" "v14" "v15" "v16" "v17"
2007 Feb 14
2
[LLVMdev] Linux/ppc backend
Hi Chris,
Chris Lattner wrote:
>> 2) Line 369 of PPCInstrInfo.td, we declare the non-callee saved registers.
>> However, Linux and Darwin do not have the same set
>> of non-callee saved registers. I don't know how to make the if(isDarwin) test
>> in here
>>
>
> Take a look at ARM/ARMRegisterInfo.td for an example of this
I tried to define Defs just
2008 Dec 09
2
Need help optimizing/vectorizing nested loops
Hi,
I'm analyzing a large number of large simulation datasets, and I've
isolated one of the bottlenecks. Any help in speeding it up would be
appreciated.
`dat` is a dataframe of samples from a regular grid. The first two
columns are the spatial coordinates of the samples, the remaining 20
columns are the abundances of species in each cell. I need to calculate
the species richness in
2012 Feb 13
2
see NA
Dear All
I want to chose just spacial columns in R. (read table)
data1<- read.table("/home/Documents/data.txt",header=F,sep = "\t", as.is =F)
data.2<-data1[sub.data[,1],]
The dimension of data.2 is correct but my data are transformed NA
head(data.2)
V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 V14 V15 V16 V17 V18
V19 V20 V21 V22 V23 V24
NA <NA> NA NA NA
2006 Feb 21
1
call row names
Hi R users.
I have a table like that:
table
var
A1
A2
A3
v1
41203
3.69
2.31
v2
20577
4.51
8.60
v3
20625
2.87
3.50
v4
6115
8.92
2.97
v5
3160
1.49
2.21
v6
2954
2.62
5.98
v7
4731
1.83
7.53
v8
2435
7.68
3.50
v9
2296
3.03
4.84
v10
6153
1.06
4.28
v11
3157
1.07
1.15
v12
2996
1.06
1.01
v13
6084
2.65
2.63
v14
3115
2.42
2011 Oct 10
1
Importing from Fortan
Hello all,
how do I import a Fortran file (f3.1) into one column in R? I've tried this
(I'm a total beginner as you can see):
> FortranData<-read.fwf("C:\\Users\\format3_1.txt",rep(3,20))
Warning message:
In readLines(file, n = thisblock) :
incomplete final line found on 'C:\Users\format3_1.txt'
> FortranData
V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12
2011 Nov 16
1
Checking for monotonic sequence
I am scraping data from a web page using XML (excellent package BTW - that's scraping data the easy way!).
So far, I've got the code:
tables <- readHTMLTable(theurl)
rhf <- tables$tabResHistFull
div1 <- rhf[which(rhf$V1=="Div ps"),]
div1
which is giving me the result:
V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 V14 V15
15
2007 May 21
1
can I get same results using lme and gls?
Hi All
I was wondering how to get the same results with gls and lme. In my lme, the
design matrix for the random effects is (should be) a identity matrix and
therefore G should add up with R to produce the R matrix that gls would report
(V=ZGZ'+R). Added complexity is that I have 3 levels, so I have R, G and say H
(V=WHW'+ZGZ'+R). The lme is giving me the correct results, I am
2005 Mar 23
1
Gini's Importance Value Variable = Inf
Hi All,
In the script below, the importance measure for column 4 (ie
MeanDecreaseGini) indicated "Inf" for V7.
Running the getTree command showed that "V7" had been selected at least
twice in one of the trees for Random Forest. So the "Inf" command was
not generated as a result of dividing the sum of the decreases by 0.
Any suggestions on what may be causing the
2005 May 02
1
newbie ifelse matrix question
Hi all,
I have time series data in a matrix format 20 rows x 205 columns and have been trying to replace outliers with NA. My first column contains the outliers threshold (3 Standard deviations) for each row - here's a bit of the first row
sd3 V1 V2 V3 V4 V5 V6 V7 V8 V9
1 13.03267 1797157 75 84 58 -1.958649 0.048775 2.056198 8.063622
2005 Dec 06
3
reading in data with variable length
I have very large csv files (up to 1GB each of ASCII text). I'd like to be able to read them directly in to R. The problem I am having is with the variable length of the data in each record.
Here's a (simplified) example:
$ cat foo.csv
Name,Start Month,Data
Foo,10,-0.5615,2.3065,0.1589,-0.3649,1.5955
2011 Mar 12
3
how to label lines
Hello R
I can not figure out, how to add text string or number to lines like on this
image:
http://r.789695.n4.nabble.com/file/n3350452/graph.png
I have some data series in text file.
My script:
require(graphics)
require(stats)
graf=read.table("file",header =FALSE,sep = "", dec = ",",fileEncoding = "",
encoding = "unknown", skip=19,nrows=400)
2011 Jul 31
3
export/import matrix
Hello
I have a problem on keeping the format when I export a matrix file with the write.table() function.
When I import the data volcano from rgl package it looks like this in R:
> data[1:5,]
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [,14]
[1,] 100 100 101 101 101 101 101 100 100 100 101 101 102 102
[2,] 101 101 102 102 102 102 102