similar to: Coercing Logical array to Numeric array

Dear all, I am new to programming in R. I deal with microarray data,which is a data frame object type. I need to carry out a few statistical procedures on this, one of them being the pearson corelation. I need to do this between each row which is a gene. So the desired result is a square matrix with the pearson corelation value between each row. So the first column would be (1,1)=0,(1,2),(1,3)

Dear R users, I am trying to download the XMLRPC package for R from www.omegahat.org without any success. Any pointers? Sumona

If I have a two column data frame like: > dat <- cbind("x"=c(1:100),"y"=c(100:1)) How can I create an array that splits every ten rows of that data frame into a third dimension of an array so that: > newarray[,,1] ,,1 x y 1 100 2 99 3 98 ... ... 10 91 ,,2 x y 11 90 12 89 ... ... ... Thanks. [[alternative HTML version deleted]]

Dear R listers, I am trying to compute the mean of a dummy variable that is encoded as a factor. However, even though the levels of my factor are 0 - 1, when I compute the mean (after coercing the factor to be numeric), R changes 0 into 1 and 1 into yes, thus altering my expected result. Please, consider the following working example: pp <- rep(0:1, 10) pp <- factor(pp, levels=(0:1),

I am using acf() to get the autocorrelations of a time series. It works but I want to then get the autocorrelations into a simple list of numbers. > x <- acf(price_changes, lag.max = 12,type = "correlation",plot = FALSE) > x Autocorrelations of series ‘price_changes’, by lag 0 1 2 3 4 5 6 7 8 9 10 11 12 1.000

Hello, I recently stumbled on an unusual behaviour of any() and all() and have been adviced from StackOverflow to share it here [1]. df1 <- data.frame(A=TRUE, B=FALSE) df2 <- data.frame(A=1, B=0) > any(df1) Error in FUN(X[[i]], ...): only defined on a data frame with all numeric variables > any(df2) [1] TRUE Warning message: In any(c(1,

I am getting ready to load a bunch of data into R. The data is all numeric, but some of the numbers are integer codes representing non-numeric semantics. What is the best way to "fix" the data frames so that these compenents are recognized as "factors" or "ordered", as appropriate? Can I "assign" to some attribute of the data frame component, like the

On 12/01/2014 11:14 AM, Andrew Trick wrote: > >> On Oct 21, 2014, at 4:03 PM, Philip Reames <listmail at philipreames.com >> <mailto:listmail at philipreames.com>> wrote: >> >> Sanjoy made a good point. We don't actually need a new variant of >> "invariant.start". Simply using an invariant.start with no uses >> gives us a notion

Something has changed in the S4 default for coercing. Am I now suppose to use setAs, or is there something else I should do to make this work: R version 2.7.0 (2008-04-22) .... > require("methods") > setClassUnion("OptionalPOSIXct", c("POSIXct", "NULL")) [1] "OptionalPOSIXct" > setClass("TSmetax",

Dear R-helpers, It seems to me that a character zoo cannot be coerced to a numeric zoo. Below is a minimal example. Can someone tell me what I have done wrong? > z<-zoo(1:4,order.by=1:4) > coredata(z)<-as.character(coredata(z)) > str(z) ‘zoo’ series from 1 to 4 Data: chr [1:4] "1" "2" "3" "4" Index: int [1:4] 1 2 3 4 >

all of a sudden, after a SparseM upgrade(?) I get this error: > str(z) Formal class 'matrix.csr' [package "SparseM"] with 4 slots ..@ ra : num [1:85372672] -0.4288 0.0397 0.0104 -0.1843 -0.1203 ... ..@ ja : int [1:85372672] 1 2 3 4 5 6 7 8 9 10 ... ..@ ia : int [1:699777] 1 123 245 367 489 611 733 855 977 1099 ... ..@ dimension: int [1:2] 699776 122

Hello I created a radar chart using the function of ?radarchart? from the ?fmsb? package in R software. The matrix I am using is as follows: x<-c(c(rep(4.5,7),c(rep(0,7)), 3.34, 3.28, 1.37, 1.12, 3.52, 4.07, 3.66)); a<-matrix(x,nrow=3, ncol=7,byrow=T) I would like to show the range of c(0,5) on the axis instead of c(0,100) or c(0,1). I really appreciate it if any body can guide me.

Hallo, I was trying some code, but couldn't make one step of the code properly. Can anybody please help me? I have one matrix like this > values [,1] [,2] [,3] [,4] [,5] [1,] 0.7777778 0.36111111 0.22222222 0.1388889 0.0000000 [2,] 1.0000000 0.00000000 0.53846154 0.0000000 0.5384615 [3,] 0.5200000 0.48000000 0.64000000 0.0000000 0.8800000 [4,] 0.8928571

Hi there, I'm running R 2.0.0 on Windows 95. I'm trying to coerce a column of factors within a data frame to numeric. This is not a problem with a vector, but I can't find a way to index a column within a data frame to achieve this. All the examples from 'An introduction to R', 'S-plus 6 programmers guide', etc, use simple vectors. I'm sure I'm missing

On 12/01/2014 02:42 PM, Andrew Trick wrote: > >> On Dec 1, 2014, at 2:21 PM, Philip Reames <listmail at philipreames.com >> <mailto:listmail at philipreames.com>> wrote: >> >> >> On 12/01/2014 11:14 AM, Andrew Trick wrote: >>> >>>> On Oct 21, 2014, at 4:03 PM, Philip Reames >>>> <listmail at philipreames.com

Is anyone can help me with this ? I'm really desperate. Thx in ad. From: asterisk-users-bounces at lists.digium.com [mailto:asterisk-users-bounces at lists.digium.com] On Behalf Of Ikka - Mitra Kreasindo Sent: Wednesday, September 14, 2011 5:02 PM To: 'Asterisk Users Mailing List - Non-Commercial Discussion' Subject: [asterisk-users] Mixmonitor command parameter problem on

Hello, How can I create a symmetric contingency table from two categorical vectors having different length of levels? For example one vector has 98 levels TotalData1$Taxa.1 [1] "Aconoidasida" "Actinobacteria (class)" "Actinopterygii" "Alphaproteobacteria" [5] "Amoebozoa"

On 10/21/2014 01:44 PM, Andrew Trick wrote: >> On Oct 21, 2014, at 11:46 AM, Sanjoy Das <sanjoy at playingwithpointers.com> wrote: >> >> Thank you for the explanation, I think I misunderstood your solution >> initially. Is it accurate to say: by making the definition of the >> source pointer of an !invariant load control (or data) dependent on >> some

Hi, I have a sparse Matrix (kronecker product of spline design matrices), and I need to multiply each row by a number to get another matrix. If the matrix is A and the numbers are stored in a vector k, with plain vanilla matrices I would do A*k But when using the Matrix package (class of A is "dgCMatrix"), I get the warning "coercing sparse to dense matrix for arithmetic".

After some trial and error I figured out how to pass matrices from R to java and back using rJava, but this method is not documented and I wonder if there is a better way? Anyway, here is what I found works: (m = matrix(as.double(1:12),3,4)) [shows m as you would expect] jtest <- .jnew("JTest") (v <- .jcall(jtest, '[[D], 'myfunc', .jarray(m), evalArray=FALSE)) [shows