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...description of changes: CHANGES IN GDATA 2.1.2 ----------------------- - Fixed bug in interleave.R - option to covert 1-column matrices to vector (based on Andrew Burgess's suggestion) - Updated Greg and Jim's email adresses - ll.R: Suppressed warning message in attach() call. - frameApply.Rd, reorder.Rd: Remove explicit loading of gtools in examples, so that failure to import functions from gtools gets properly caught by running the examples. - upperTriangle.R, man/upperTriangle.Rd: Add functions for extracting and modifying the upper and lower trianglular components of...

...description of changes: CHANGES IN GDATA 2.1.2 ----------------------- - Fixed bug in interleave.R - option to covert 1-column matrices to vector (based on Andrew Burgess's suggestion) - Updated Greg and Jim's email adresses - ll.R: Suppressed warning message in attach() call. - frameApply.Rd, reorder.Rd: Remove explicit loading of gtools in examples, so that failure to import functions from gtools gets properly caught by running the examples. - upperTriangle.R, man/upperTriangle.Rd: Add functions for extracting and modifying the upper and lower trianglular components of...

Hi All, I am (almost) successfully using apply() to apply a function recursively on a data matrix. The function is question is as.genotype() from the library 'genetics' apply(subset(chr1, names$breed == 'lab'),2,as.genotype,sep ="") Unfortuantely apply puts it's results into a matrix object rather than a data frame, tranforming my factors into numerics and

Hello, How can I apply a function on a vector that refers to actual (n) and previous elements in the vector (e.g. n-1)? For example: I would like to calculate the sum of (n-1) + n for each element of a vector and get a vector as a result. Besides others I tried this: v<-c(3,6,8,1,1,3,9,5,6,3) for (i in 1:NROW(v)){a[i]<-a[i-1]+a[i]} I would like to get this result: