Other options are:
rsync -r -t -v -n [email protected]:/$HOME/DestinationFolder:/$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
