search for: dfq

...variable that I will keep int he data frame. Alternatively, I could also drop both the variables that are correlated with each other. Worry not! I am not deleting data, I am just finding a subset of the data that I can use to impute some missing observations. I have tried the following statement dfQuc <- dfQ[ , sapply(dfQ, function(x) cor(dfQ, use = "pairwise.complete.obs", method ="pearson")<0.8)] but it gives me the following error: Error in `[.data.frame`(dfQ, , sapply(dfQ, function(x) cor(dfQ, use = "pairwise.complete.obs", : undefined columns select...

...#Read data into Rdf <- read.table("F:\\testC2S4\\new_C2-S4_head_data.txt", header = TRUE); #, stringsAsFactors = TRUEdfPZ <- df[ ,1:3]dfDV <- df[ ,277:311]dfPtemp <- df[ ,seq(4, 275, by = 2)]dfP <- dfPtemp[, sapply(dfPtemp, function(x) !all(is.na(x)))]dfQtemp <- df[ ,seq(5, 275, by = 2)]dfQ <- dfQtemp[, sapply(dfQtemp, function(x) !all(is.na(x)))]remove(dfPtemp, dfQtemp) NewPrimal <- data.frame(c(dfPZ, dfQ, dfP, dfDV), row.names = NULL, check.rows = F, check.names = F) remove(dfPZ, dfQ, dfP, dfDV) library(mice)# setting up the default setti...

...an 50% missing observations from the data frame (well, the actual percentage might change). I have already deleted from the data frame the variables that were all missing and for this I used the following code, which was kindly suggested by one of you: ## Data frame after removing any blank columns:dfQ <- dfQtemp[ , sapply(dfQtemp, function(x) !all(is.na(x)))] Any ideas or suggestons for deleting variables with partially missing data? Thanks and have a great weekend! Rita ===================================== "If you think education is expensive, try ignorance."--Derek Bok...

I'm new to R and not an experienced writer of programs, which may help explain my question. I wish to create a table or data frame which contains the quantiles of the columns in the data frame DF. I wish to produce a table T where T[1] shows me the quantiles of column DF[1] right up through the entirety of DF. Tried several approaches with limited success. This looked like the best

...format with modified format shadow_fmt4 Disk Testing shadow:snapprefix regex shadow_fmt5 Disk Testing shadow:snapprefix with delim regex shadow_wl Disk previous versions with wide links allowed shadow_write Disk previous versions snapshots under mount point dfq Disk dfq_cache Disk dfq_owner Disk quotadir Disk acl_xattr_ign_sysacl_posix Disk smb username is [] acl_xattr_ign_sysacl_windows Disk smb username is [] mangle_illegal Disk smb username is [] nosymlinks Disk smb...

Thanks for the reply, Besides the problem with source4/lib/messaging/messaging_handlers.c, Good to hear that selftest is actively used, then do I understand it right that 'make test' should succeed? My bigger problem is that it failed with lots of errors. This must be a problem with my build, then, but since this is a fresh tarball I am a bit puzzled. I would appreciate some hint on

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