search for: chintanu

...3 1 1 1 1 > as.data.frame(table(numbers)) numbers Freq 1 4 2 2 5 1 3 23 2 4 34 2 ... However, there must be some simple way to get the frequency based on ranges, such as 0-10, 10-20, 20-30 and so on. Please help ! Thank you. Cheers, Chintanu [[alternative HTML version deleted]]

...9;t wish to have the enclosing border surrounding the words (as given below). Tried to use the following, but didn't help : legend (locator(1), border=FALSE, fill=FALSE, "Important ones") legend (locator(1), border=NILL, fill=NILL, "Important ones") Thank you. regards, Chintanu [[alternative HTML version deleted]]

...able_B, by="Email", all = FALSE)) - to find only the rows that match from these data frames. Further, I am also interested (using "Email" as the common key) which rows from Table_A did not match with Table_B. I am not sure how to do here. Thanks. On 1 May 2018, at 9:35 pm, Chintanu <chintanu at gmail.com<mailto:chintanu at gmail.com>> wrote: ---------- Forwarded message ---------- From: peter dalgaard <pdalgd at gmail.com<mailto:pdalgd at gmail.com>> Date: Tue, May 1, 2018 ar-help at r-project.org<mailto:r-help at r-project.org>t 9:05 PM Subjec...

Hi, May I please ask how I do the following in R. Sorry - this may be trivial, but I am struggling here for this. For two dataframes (A and B), I wish to identify (based on a primary key-column present in both A & B) - 1. Which records (rows) of A did not match with B, and 2. Which records of B did not match with A ? I came across a setdt function while browsing, but when I tried

...ralia.1252 LC_MONETARY=English_Australia.1252 LC_NUMERIC=C LC_TIME=English_Australia.1252 attached base packages: [1] stats graphics grDevices utils datasets methods base loaded via a namespace (and not attached): [1] tools_2.13.0 Thank you. Kind regards, Chintanu [[alternative HTML version deleted]]

...=TRUE) ] On the web, I could see a few ways people seem to merge more than 2 dataframes. I tried to use library (reshape), but it didn't bring any result: file_list <- list.files() m <- merge_all (file_list, by="Name") Any help would be appreciated. Thank you. regards, Chintanu [[alternative HTML version deleted]]

...e <- data.frame(Sample_1a = 1:10, Sample_1b = 2:11, Sample_1c = 3:12, Sample_2a=4:13, Sample_2b=7:16, row.names=LETTERS[1:10]) groups <- rep (0:1, c(3,2)) kruskal <- apply(myFile [1:nrow(myFile),], 1, kruskal.test, ******) p_kruskal <- sapply(kruskal, function(x) x$p.value) Thanks, Chintanu [[alternative HTML version deleted]]

...uot;, all = FALSE)) - to find only the rows that match from these data frames - based on Email as primary key. Further, I am also interested (using "Email" as the common key) which rows from Table_A did not match with Table_B. I am not sure how to do this here. Thanks and regards, Chintanu On Tue, May 1, 2018 at 8:48 PM, Rui Barradas <ruipbarradas at sapo.pt> wrote: > Hello, > > Is it something like this that you want? > > x <- data.frame(a = c(1:3, 5, 5:10), b = c(1:7, 7, 9:10)) > y <- data.frame(a = 1:10, b = 1:10) > > which(x != y, arr.ind =...

...able_A, Table_B, by="Email", all = TRUE) Table_C[is.na(Table_C$Name.y),] Table_C[is.na(Table_C$Name.x),] Table_C contains all data from Table_A and Table_B. The key.x is NA if the row comes from Table_B and key.y is NA if the row comes from Table_A. Best, Robin On 05/02/2018 11:38 AM, Chintanu wrote: > Thanks - Peter, Eivind, Rui > > > Sorry, I perhaps could not explain it properly in the first go. > > Trying to simplify it here with an example - Say I have two dataframes as > below that are NOT equally-sized data frames (i.e., number of columns are > different...

...= test [,1]; new_y = test[,2] new_x.sort = sort(new_x) predicted <- predict(y.loess, newdata=new_x.sort) Am I doing any mistake ? Please correct me. I could see that though the rest of the values of "predicted" looks alright, however the first output of it is an NA !! Many thanks, Chintanu [[alternative HTML version deleted]]

...an be used. However, in my case, I have tested the correlation (i.e., Correlation Coefficient, r) between two independent (i.e, different) variables, and now I wish to test for the statistical significance of the correlation. Could you please suggest how I should do that. Thank you. Kind regards, Chintanu [[alternative HTML version deleted]]

...the dataframes contains unique names. I wish to have Dataframe_A with the rows that are NOT common to Dataframe_B. With merge (), it is possible to get the common rows or to merge rows, but I am not quite sure how to do it in a simpler way. Any help would be much appreciated. Thank you. Cheers, Chintanu [[alternative HTML version deleted]]

Hello, Is it something like this that you want? x <- data.frame(a = c(1:3, 5, 5:10), b = c(1:7, 7, 9:10)) y <- data.frame(a = 1:10, b = 1:10) which(x != y, arr.ind = TRUE) Hope this helps, Rui Barradas On 5/1/2018 11:35 AM, Chintanu wrote: > Hi, > > > May I please ask how I do the following in R. Sorry - this may be trivial, > but I am struggling here for this. > > > > For two dataframes (A and B), I wish to identify (based on a primary > key-column present in both A & B) - > > 1....

Hello, I have used Wilcox test to find the p-value for hgua95 spiken data. It did not give the required result, and instead gave me warnings like the values are duplicated. Kindly suggest me how to overcome this problem as I am new to R. Thank you Deepthi BM