similar to: Statistical querry on Partial correlation test

Dear all,   I was using older version of R (installed early). I install new version of R (R.2.9.0) but i could not find package "xlsReadWrite" to read Excel file. Is there any alternatives to read Excel file ? I hope it should be. I need help although it is minor querry. Thanks in advance.   Sincerely, Ram Kumar Basnet Wageningen University, The Netherlands   [[alternative HTML

Dear R users, I am not good in R-language programming. So, i need your help. I want to convert my lower-triangle value of symmetry matrix into a vector with their row and column name. I found a function called "sm2vec" in "corpcor" package but it give only a vector of values but not row and column names. But i also want ROW and COLUMN name together with their corresponding

Dear colleagues, I've been searching for information on the Kaiser-Meyer-Olkin (KMO) Measure of Sampling Adequacy (MSA). This statistic is generated in SPSS and is often used to determine if a dataset is "appropriate" for factor analysis -- it's true utility seems quite low, but it seems to come up in stats classes a lot. It did in mine, and a glance through the R-help

Dear all, I am trying to make barplot from matrix with "beside=FALSE". I have 165 labels in my bar plot. When i plot the label horizontally below the barplot, then all labels are not appear in the plot due to lack of space. I used the following function: barplot(t(bar), main="Barplot based on LCMS", ylab="RF membership Probability",   

Dear R users,   I am not so used to this R software. I have to use the package " Rgraphviz" but found some problem in the installation process. I download this package and store in R library but i am not getting this package in R installation list. I made review in google search net and use the following command:   ### source("http://bioconductor.org/biocLite.R")

Dear R users,   It may be very simple but it is being difficult for me. I have two vectors with some common string. And, i want to combine into a vector in such a way that it includes string from both vectors and make a unique.   For example:   x <- paste(rep("A",5),1:5,sep = ".") x [1] "A.1" "A.2" "A.3" "A.4" "A.5" y <-

Hi All, How do i calculate KMO for a dataset? *Dataset:---------------------* m1 m2 m3 m4 m5 m6 m7 m8 1 2 20 20 2 1 4 14 12 2 9 16 3 5 2 5 5 15 3 18 18 18 13 17 9 2 4 4 7 7 2 12 2 11 11 11 5 7 8 5 19 5 2 20 18 6 7 4 7 4 7 9 3 3 7 5 5 5 12 5 13 13 12 8 6 6 4 3 5 17 17 16 9 12 12 4 2 4 4 14 14 10 5 14

Dear R users,   Does somebody know the way to import many files by a single command in R ? I have 50 files in a directory and now, i am importing the files repeatedly (one by one). If there is a way to import all files at a time, it makes much more easy and save times too. Thanks in advance.     Sincerely, Ram Kumar Basent Wageningen University, the Netherlands   [[alternative HTML

Hi   I think this may be simple task but creating trouble to me. In my calculation, i have got large number of rows (5546) and column 182 but i am not able to see all the rows. May be somebody have idea how i can see all the rows ? I will be greatful if any body help me. Thanks in advance   Sincerely, Ram Kumar Basnet Graduate student Wageningen University Netherlands   [[alternative

Dear all,   I did ANOVA for many response variables (Var1, Var2, ....Var75000), and i got the result of p-value like below. Now, I want to select those predictors, which have pvalue less than or equal to 0.05 for each response variable. For example, X1, X2, X3, X4, X5 and X6 in case of Var1, and similarly, X1, X2.......X5 in case of Var2, only X1 in case of Var3 and none of the predictors in case

Dear R users,   I am new user for elastic net. I am trying to use elasticnet library. I have marker data with 359 markers and 168 samples, and response is metabolites. I am trying to do regression between a metabolite and markers.  But i am getting the following error:   > en<-enet(marker,as.numeric(vio),lambda=0.5,normalize=FALSE,intercept=TRUE) Error in one %*% x : requires numeric

Dear all, I have querry on how to extract the data by matching between two data set where one has the same elements multiple times?   For example, I have two matrix X and Y. > X    [,1]    [,2]       [,3] 1  A     5          P 2  B      6         P 3  C     7         P 4  D     5         Q 5  E      6         Q 6  F      7         Q 7  G     5          R 8  H     6          R 9  I       7

Hi everybody,   I am doing principal component analysis (PCA) using "prcomp' function. When i did "Biplot", i did not found interesting result and it is based on Principal component (PC) 1 vs PC2. Now, i want to see"Biplot" in combination of either PC1 vs PC3 or PC2 vs PC 3. I did not get the ideas. Does any one have ideas ? I am optimistic on getting some idea.

Hi. I am using R 2.3.1 on Windows XP. I had installed a library package into my first session and wanted the same package in my second session, so I went out to the CRAN mirror and tried to install the package, and got the following message: ********************************************************************* >utils:::menuInstallPkgs() trying URL

I am creating covariance matrices from sets of points, and I am having frequent problems where I create matrices that are non-positive definite. I've started using the corpcor package, which was specifically designed to address these types of problems. It has solved many of my problems, but I still have one left. One of the matrices I need to calculate is a cross-covariance matrix. In other

Dear all,   Does some body have idea on how to extract Type III sum of Square from "lm" or "aov" function in R ? I could not figure out it.   If this is minor and irrelevant to post in this mail, I am sorry for that. Thanks.     Sincerely, Ram Kumar Basnet Wageningen University, Netherlands   [[alternative HTML version deleted]]

Hi R users,   I am trying to do two-way clustering (using information of both observation and variables). Is there any package available in R. Another querry, if somebody can provide related information (website) regarding this statistics, it will be great. Thanks in advance.   Regards,   Ram Kumar Basnet, Wageningen University. [[alternative HTML version deleted]]

Hello, I'm attempting to create a data frame with correlations between every pair of variables in a data frame, so that I can then sort by the value of the correlation coefficient and see which pairs of variables are most strongly correlated. The sm2vec function in the corpcor library works very nicely as shown here: library(Hmisc) library(corpcor) # Create example data x1 = runif(50) x2 =

Hi R users,   I am doing multiscale bootstrapping for clustering through pvclust package. I have large data set (observations 182 and variables 5546). When i tried to make bootstrapping, then i got message as "Bootstrap (r = 0.5)............Error: cannot allocate vector of size 117.3 Mb". I am new R user and could not understand what is the problem and also don't know the easiet

Hi, If a matrix is not positive definite, make.positive.definite() function in corpcor library finds the nearest positive definite matrix by the method proposed by Higham (1988). However, when I deal with correlation matrices whose diagonals have to be 1 by definition, how do I do it? The above-mentioned function seem to mess up the diagonal entries. [I haven't seen this complication, but