similar to: correlations between columns for each row

Dear list members, Where can I find code for computing the p*p variance-covariance matrix given a vector of p variances (ordered varA, varB, ..., varp) and a vector of all possible correlations (ordered corAB, corAC, ..., corp-1,p)? I know that the covariance between 2 variables is equal to the product of their correlation and their standard deviations: corAB * varA^.5 * varB^.5 and so:

Hi: Can anyone advice me on how to loop and perform a calculation through all the columns. here's my data xd<- c(2.2024,2.4216,1.4672,1.4817,1.4957,1.4431,1.5676) pd<- c(0.017046,0.018504,0.012157,0.012253,0.012348,0.011997,0.012825) td<- c(160524,163565,143973,111956,89677,95269,81558) mydf<-data.frame(xd,pd,td) trans<-t(mydf) trans I have these values that I need to

Hello,   I'd like to generate automatically all the possible combinations of a set of 8 variables (there are 535, too many to do it by hand). For example:   input: varA, varB, varC output: varA+varB+varC             varA+varB             varA+varC             varB+varC             varA             varB             varC Is there any function that produces this option?   Thank you [[alternative

Dear R Users, Am using lm() with contrasts as below. If I skip the contrasts() statement, I get the coefficient names to be > names(results$coef) [1] "(Intercept)" "VarAcat" "VarArat" "VarB" which are much more meaningful than ones based on integers. Can anyone tell me how to get R to keep the coefficient names based on the factor levels

Hello, I have some code that currently works fine and I am endeavoring to convert the major pieces of it into functions. This involves taking "hard coded" names of variables that are used in various places and figuring out how to abstract them out into functions where the arguments (i.e. a list of variables)?can be passed to the parent function and used within that function for various

Hello, I have a dataframe of say 20 lines with one line per individual. I want to group these 20 individuals by length class (eg. of 5cm) and get the mean value of all the other variables (eg VarA and VarB) for each length class My dataframe is as follow: Length <- 10:30 VarA <- seq(1000,1200,10) VarB <- seq(500,700,10) Data <- cbind(Length,VarA,VarB) And I want to get something

Hello, I have three datasets StartSignals, MainData, StopSignals and need to compound the data for each variable in MainData over dates that fall between the Start and Stop signals. (Stop signals are common and the same to all X1:X5 variables). Please see sample below: The one way I was thinking of doing this project was to setup a nested "FOR" loop and go through the three data

Hi, I have a question about how I should report the results for a linear mixed effects model where the model includes as predictors three factors (facA, facB and facC), one of which (facA) interacts with the other two. facA and facB have two levels and facC has 3 levels. There are also several other continuous predictors (e.g. varA, varB, varC). My mixed model is specified with the following

Dear R-list, I have a data set (in the following example called "a") which have: one "subject indicator" variable (called "id") three dependent variables (varD, varE, var F) three independent variables (varA, varB, varC) I want to fit 9 lme models, one per posible combination (DA, DB, DC, EA, EB, EC, FA, FB, FC). In stead of writting the 9 lme models, I want to

Dear R users, I'm having a hard time with some very simple things. I have a time series where the dates are in the format 7-Oct-04. I imported the file with read.csv so the date column is a factor. The series is rather long and I want to plot it piece by piece. The function below works fine, except that the labels for date are meaningless (ie 9.47e+08 or 1098000000 - apparently the number of

Let's say I have a program that returns variables whose names may be any string within the vector NAMES=c("varA","varB","varC","varD","varE","varF"..."varZ"), but I do not ever know which ones have actually been created. So in one example output, "varA", "varC", and "varD" could exist, but

Hi, I have a data set that looks like this: > data vara varb S PC 1 None 250 1 80 2 None 250 1 70 3 Some 250 1 60 4 Some 250 1 70 5 None 1000 1 90 6 None 1000 1 90 7 Some 1000 1 80 8 Some 1000 1 70 9 None 250 2 100 10 None 250 2 80 11 Some 250 2 70 12 Some 250 2 70 13 None 1000 2 100 14 None 1000 2 90 15 Some 1000 2 50 16 Some 1000 2 40 ... And so on.

Hi, I have a 3 panel xyplot with different variables in the y axis. I'm trying to insert a newline after "Width (cm)," in the ylab argument as in the example below. My goal is to have the y axis label broken into two lines, split after the string just mentioned. plotfun <- function() { fakedf <- data.frame(A = sample(1:100, 50), B = rnorm(50),

Hi I think/hope there will be a simple solution to this but google-ing has provided no answers (probably not using the right words) I have a long data frame of >2 000 000 rows, and 6 columns. Across this there are 24 000 combinations of gene in a column (n=12000) and gender in a column (n=2... obviously). I want to create 2 new columns in the data frame that on each row gives, in one column

Hello List, I am not sure that I have the correct terminology here (restricted bootstrap) which may be hampering my archive searches. I have quite a large spatially autocorrelated data set. I have xy coordinates and the corresponding pairwise distance matrix (metres) for each row. I would like to randomly sample some number of rows but restricting samples such that the distance between them is

I'm doing some research and I'd like to know if there is anyone who has deployed samba as a PDC with more than 50 clients with roaming profiles enabled. Looking to do something similar and I would like to know hardware configs I should choose.

Is it possible to call the super class''s version of a function from a subclass? SuperClass = Class.create(); SuperClass.prototype = { initialize: function(){ this.varA = ''''; this.varB = ''''; } } SubClass = Class.create(); SubClass.prototype = (new SuperClass()).extend({ initialize: function(somevar) { this.somevar = somevar; }

Greetings All! After much trial and error, and an exhaustive search of the archives, I'm writing to solicit help with a problem. I want to dynamically modify variable names and values as function arguments inside a loop. I have a canned function from a package that takes ellipsis (...) arguments of the form varb=vval where varb is a name and vval is either numeric or character. I want to

Several years ago there were R implementations of a socio-linguistics analysis method called Variable Rule Analysis namely rbrul and r-varb. Both neither of the sites listed (in the method's WikiPedia page http://en.wikipedia.org/wiki/Variable_rules_analysis ) appear to be online any more (one was at UPenn and the other at Indiana). Does anyone know a) whether the code for either or both of

Hi, I wonder whether the following is possible with R, and whether anyone has done that and can share his/her code with me. I have a correlation matrix, and I want to create a correlation table that I can copy to Microsoft Word with a superscript above each correlation, indicating significant differences in the same row. That is, when correlations in the same row do not share superscript, it means