similar to: subset in a BIG matrix

Hi, thank you for taking the time and reading my question. My question is twofold: 1. I have several matrices with variables and one matrix with water levels. I want to predict the water level with the data in the other matrices. Basically, * mod<-lm(matrix1 ~ matrix2+matrix3)* ( What looks like a minus is meant to be the wiggly minus.) Of course I could dissemble the matrices and paste

Hi R-users I have a series of matrices and I would like to bind them together by column using a loop (i.e. not writing cbind(matrix1, matrix2,matrix3....)). The reason is because in my real data set I have a very large number of matrices. Example: matrix1 <- matrix (1:12,4,3) matrix2 <- matrix (13:24,4,3) matrix3 <- matrix (25:36,4,3) matrix4 <- matrix (37:48,4,3)

I'm performing item response theory with eRm packages I am excluding the persons that doesn't fit in the infit/outfit persons. for that I created a condition. then I have to create a new subset or matrix but with the condition. So: ORIGINAL matrix<-cbind(item1, item2, item3, item4) IF I PERFORM A head(matrix) item1 item2 item3 item4 3 2 3 1 3 1

Dear list, I have two martix like these, each rows with name in the matrix. I try to select rows with identical name from two matrix and calculate their correlation. Matrix1: 2-Sep 9 5.5 1 7.18 10.0 8 139.45 2-Sep 7 4.9 15 8.22 61.68 9 123.62 4-Sep 5-Sep AAMP A2M A2M . . . Matrix2: 2-Sep 4 7 1 6.8 12 8 19.4

Hi All: Let's say I have two dataframes (Condition1 and Condition2); each being on the order of 12,000 and 16,000 rows; 1 column. The entries contain dates. I'd like to calculate, for each possible pair of dates (that is: Condition1[1:10,000] and Condition2[1:10,000], the number of days difference between the dates in the pair. The result should be a matrix 12,000 by 16,000. Really,

HI, I have a dataframe like this: name type A t1 B t2 C t1 D t1 E t3 F t2 how can I have a "sub dataframe" based with the column "type" like this: (for type = t1) name type A t1 C t1 D t1 (for type = t2) name type B t2 F t2 Thanks -- View this message

R-help I have a martix with missing values( in which I want the sample size by column) When I : apply(matrix,2,length) I get the length of the vector regardless of missing values. I can't pass an argument to length in apply. Alternatively I could ifelse ( is.na ( matrix [, "columns in matrix " ] ) , 0 , 1) Is there any easier way? Thank you

Greetings! I come to R by way of Matlab. One feature in Matlab I miss is its "end" keyword. When you put "end" inside an indexing expression, it is interpreted as the length of the variable along the dimension being indexed. For example, if the same feature were implemented in R: my.vector[5:end] would be equivalent to: my.vector[5:length(my.vector)] or:

I have two matrix with same dimensions. I want to do t.test using each column from 2 different matrix. Row n Column names in both matrix are same. e.g. Matrix1 id VC1 VC2 VC3 R 1 2 3 R1 4 5 6 R3 7 8 9 Matrix2 id VC1 VC2 VC3 R 10 11 12 R1 13 14 15 R3 16 17 18 want to do t.test using each column (with same name ) using Matrix1 and Matrix2 for eg

http://bugs.freedesktop.org/show_bug.cgi?id=25223 Summary: LVDS detected, but disabled Product: xorg Version: 7.5 Platform: Other OS/Version: All Status: NEW Severity: blocker Priority: highest Component: Driver/nouveau AssignedTo: nouveau at lists.freedesktop.org ReportedBy: martix.cz at

Hi, I have two table matrix, and I would like to compare the different between two matrix. For example: Matrix 1: A B C A 0 1 0 B 0 0 1 C 0 0 0 Matrix 2: A B C A 0 1 0 B 0 0 0 C 0 0 0 Each column which have value 1, should also return value 1. As in this case/example, the result should appear like this (as below). The result of this differentiation should also be in matrix

R-help - I'm trying to create axis breaks similar to this : http://www.r-bloggers.com/wp-content/uploads/2010/08/bar-chart-natural-axis-split1.png . Is there a way to do this in R? Here's my code thus far: structure(list(condition = structure(c(2L, 1L, 3L), .Label = c("con", "exp", "unedit"), class = "factor"), trial.avg = c(4.04583333333333,

Dear R team, The following piece of code (to use the lsa package) works fine on my mac os x, but when I run the same code on Windows XP, it doesn't work any more. ### code: library("lsa") matrix1 = textmatrix("C:\\Documents and Settings\\tine stalmans.TINE. 000\\LSA\\cuentos\\", stemming=TRUE, language="spanish", minWordLength=2, minDocFreq=1,

Hi, I have the following matrix (named m): key sensor_date Laser_1 Laser_2 Laser_3 2010-09-30T15:00:12+0200 6 3 1 2010-10-31T15:05:07+0100 5 4 2 2011-09-30T15:00:12+0200 6

I will test your suggestion, but I designed the test case to load the memory directly into <4 x float> registers. So there is absolutely no permutation and other swizzle or move operations. Maybe the heuristic should not only count the depth but also the surrounding load/store operations. Are the load/store operations vectorized, too? (I designed the test case to completely fit the SSE

Hi, just during these vacation days, I'm trying to approach with multicore package and I have some troubles with foreach. What I'm trying to do is to extract a data in coordinate (ii,jj) from a matrix2, only if the data in the same coordinate in matrix1 is ==1. Make this with a nested "for" take a lot of time because I have thousand of values. ex. Binary_hex = NULL

hi, I need to remove the list that does not have any values.Do suggest me the way to do it. result<- list() > head(result) [[1]] [,1] [,2] [,3] [[2]] [,1] [,2] [,3] [[3]] [,1] [,2] [,3] [[4]] [,1] [,2] [,3] [[5]] [,1] [,2] [,3] [1,] "HIGD1C" "SNP_A-2058537" "4" [2,] "HIGD1C" "SNP_A-1955347"

Dear all, I am pretty sure that this has been discussed before. Unfortunately, I can not find anything in the archives -- probably because I am "RSiteSearching" for the wrong terms. If I remember correctly, I think I even asked this question a few years ago. But I cannot even find this. The basic problem is that a result depends on a previous result. This is easy with a loop--but

I have a question related to matrix(). The code below randomly generates 3 Poisson numbers into a 3 by 1 matrix: > matrix1 <- matrix(rpois(3,lambda=2),nrow=3,ncol=1) And I use list() to see what they are: [,1] [1,] 3 [2,] 1 [3,] 4 , which is what I had intended. I then I want to randomly generate y Normal numbers into a 3 by 8 matrix. y in this case would be 3, 1, and 4; so

Hi all, I have a large dataset that has >10k entries. The dataset is stored in a dataframe with the headers: SubID Condition1 Condition2 Result1 Result2 There are multiple entries for a given SubID(Subject ID). Condition 1 has 3 levels and condition2 has 2 levels (therefore there are 6 possible combinations all together e.g. Cond1 Level1 x Cond2 Level 1 etc.) and i need to compute for 1. The