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Other options are: rsync -r -t -v -n -xzh@192.168.10.2:/$HOME/DestinationFolder:/$HOME/./DestinationFolder Keep in mind that rsync only works if you’re within the same network as the computer you’re synchronizing to. Q: how to filter out blank values with aggregate api I have a dataset that has both complete and incomplete data. I want to use the aggregate function to add new feature for the incomplete data. So I want to check how many empty row of this dataset. For complete dataset, I can easily use this format: aggregate( mydata, by=list(record, customgroup), FUN=function(x) mean(x, na.rm = T)) I can also use subset: aggregate( mydata[complete.dataset], by=list(record, customgroup), FUN=function(x) mean(x, na.rm = T)) for this incomplete dataset, I tried: aggregate( mydata, by=list(record, customgroup), FUN=function(x) mean(x, na.rm = T)) aggregate( mydata[incomplete.dataset], by=list(record, customgroup), FUN=function(x) mean(x, na.rm = T)) but all of them keep returning this error: Error in FUN(newdata[[i]],…) : unused argument (na.rm = T) What I want is the new dataset to contain the missing values. Any idea for that? A: Try: aggregate( mydata[complete.dataset], by=list(record, customgroup), FUN=function(x) mean(x, na.rm=T), na.rm=T) Source: Q: Запуск бета обработки всей версии В бете есть три запуска: про

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