similar to: correlation matrix - large dataset

Hi, I wanted to know how to compute the correlation ratio (eta) between two variables using R. Is there any function to compute the correlation ratio. Any help will be very much appreciated. Thanks, Suman [[alternative HTML version deleted]]

I would like to know how to convert a string with characters to all uppercase or all lowercase? If anyone could let me know if there exists a function in R for the conversion, that will be very helpful. Regards, Suman [[alternative HTML version deleted]]

I am using R on unix. While in R how do I execute the unix shell commands? Is there a way to do it? I am executing a function in R and the matrix resulting from the function has to be passed on as an input to unix command. Any directions will be helpful. Thanks, Suman [[alternative HTML version deleted]]

I need help with calculating lsmeans (adjusted means) of different terms in a linear model including the main effect and the interaction effect terms. I use lm to run the linear models...I previously noted from literature that that "effects" package can be used to generate lsmeans. But I tried to use it but could not figure out which option to use to get means. If anyone can give an

Hello, I have a big matrix of size (20,5) -bmat . I have to loop though the rows in the matrix and create DIFFERENT matrices each time I go through the loop. counts=c(4,6,10); p=1; for (i in 1:length(counts)) { smat=bmat[p:p+i-1,]; p=p+i; } The problem is smat overwrites itself each time inside the loop. I would like to have smat1, smat2, smat3 instead of a single vector smat.

Hello, This might be a very basic question but I was not sure how to go about it. I just wanted to calcluate the time it takes to run my program. Basically I was to put a timer at the start and the end of the program in order to see how much time it takes to give the output (similar to tic-tac in MATLAB) . Any help will be appreciated. Thanks, Suman [[alternative HTML version deleted]]

Hello All, I wanted to do many plots (in my case, wanted to get 6 histograms) on the same figure. Is there a method in R that analogous to 'subplot' in MATLAB? Any help will be very much appreciated. thanks, Suman [[alternative HTML version deleted]]

Hello, I wanted to know how to plot a histogram using a vector of frequencies rather than the data vector as a whole. So I have two vectors: a vector of labels V1= c("A","B","C","D") and vector B which is a vector of frequencies of A, B, C and D respectively V2=c(20,50,60,30). I wanted to plot a histogram of the labels using the frequencies. I could not

Thanks in advance. I want to derive correlations of variables in a dataset Specifically library(Ecdat) data(Housing) attach(Housing) cor(lotsize, bathrooms) this code results only the correlationship between two variables. But I want to examine all the combinations of variables in this dataset. And I will finally make a table in Latex. How can I test correlations for all combinations of

I am doing an analysis that requires me to calculate correlations for a matrix of 15,000 rows x 50 columns. For each row I want to calculate the correlation to all other rows and then for each row, find the n (say 10) most correlated rows. If read in the 15,000 x 50 data from file and pass it to 'cor', this function quite appropriately (and very quickly) calculates all possible row by

Hello, I'm using a very large data set (n > 100,000 for 7 columns), for which I'm pretty happy dealing with pairwise-deleted correlations to populate my correlation table. E.g., a <- cor(cbind(col1, col2, col3),use="pairwise.complete.obs") ...however, I am interested in the number of cases used to compute each cell of the correlation table. I am unable to find such a

Dear All, I have two matrices A (40 x 732) and B (40 x 1230) and would like to calculate correlation between them.  I can use: cor(A,B, method="pearson") to calculate correlation between all possible pairs. But the issue is that there is one-many specific mappings between A and B and I just need to calculate correlations for those pairs (not all). Some variables in A (proteins, say p1)

Hello, I need to calculate the correlation for all pairwise combinations in a very large matrix. I have 25,000 elements and need to calculate the pairwise correlation with a different set of 5,000 elements. I have written code that works, but it is extremely slow. At the current rate, it will take a few weeks to finish running. I'm looking for suggestions on performing the calculations

On 2/25/20 9:13 PM, Jason Wang wrote: > > On 2020/2/26 ??12:51, Suman Anna wrote: >> Hi Jason, >> >> On 2/24/20 11:39 PM, Jason Wang wrote: >>> On 2020/2/25 ??5:26, Suman Anna wrote: >>>> The functions vring_new_virtqueue() and __vring_new_virtqueue() are >>>> used >>>> with split rings, and any allocations within these

I'm trying to obtain within-group correlations on a subset of variables. I first selected my variables using the following command: mydata$x<-mydata[c("iq","education","achievement")] I'd like to look at correlations among those variables separately for men and women. My gender variable in mydata is coded 1 (women) and 0 (men). I have successfully used

Given four known and fixed vectors, x1,x2,x3,x4, I am trying to generate a fifth vector,z, with specified known and fixed partial correlations. How can I do this? In the past I have used the following (thanks to Greg Snow) to generate a fifth vector based on zero order correlations---however I'd like to modify it so that it can generate a fifth vector with specific partial

Hi, I am currently working with a data set which contains a list of julian dates of phenological (flowering, leaf growth etc.) I obtained a correlation matrix by simply using the cor function with the dataset cor(dataset,use="complete.obs") that gives me a correlation matrix but the correlations are somehow different from when I run individual correlations using the cor function and

Dear All, I have a file (a matrix) on which I have to compute the correlations. The function "cov" compute the correlations between the columns of a matrix, but I want to compute the correlations between the raws. Can somebody say to me how I can carry out that? Thanks Laurence -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list --

Hi, I'm dealing with a datamining analysis: I've a lot of categories of product sold per week (n. week =26, n. categories about 50. my dataframe is like this: Settimana ALIMENTI..ALTRI. ALIMENTI.APROTEICI 1 1 3 19 2 2 2 0 3 3 1 22 4 4 2

Hello all. I have 14 variables, named D2_1, D2_2,...,D2_14 (inherited from a data set). I would like to create a matrix of correlations, although I would be content in just learning how to create a proper do loop. I tried something like this: (for i in 1:14){cor(D2_[i],D2_[i], use = "complete.obs")} This is wrong, of course, but I don't know how to "tell" R to run