search for: dtam

I am working on building a facter tag based node classifier similar to https://github.com/jordansissel/puppet-examples/tree/master/nodeless-puppet/. However, I have run into an issue where I cannot use puppet''s require file ability to push the yaml file containing the facts file to the client because it would require two runs of puppet to pickup changes. Consequently, I have written into

...w of data into R usually gets # a data frame, which looks like a matrix but is not a matrix. # Read the Introduction to R about these two types carefully. # Each column in a data frame can have a different type of data, # but in a vector or a matrix all rows and columns must be of # the same type. dtam <- as.matrix( dta ) # If you have any values that R cannot clearly identify as numeric # or integer, then the next most general type of variable is # character... and that is often something that trips up newbies, # though I have no evidence that you have any non-numeric columns # in your data...

...w of data into R usually gets # a data frame, which looks like a matrix but is not a matrix. # Read the Introduction to R about these two types carefully. # Each column in a data frame can have a different type of data, # but in a vector or a matrix all rows and columns must be of # the same type. dtam <- as.matrix( dta ) # If you have any values that R cannot clearly identify as numeric # or integer, then the next most general type of variable is # character... and that is often something that trips up newbies, # though I have no evidence that you have any non-numeric columns # in your data...

:-) I don't insist on anything, I'm just struggling to learn a new language and partly a new way of thinking, and I really appreciate the corrections. I hope I someday will be able to handle lists in R as easy as I handle loops in Stata... Thanks again! Love -----Ursprungligt meddelande----- Fr?n: peter dalgaard [mailto:pdalgd at gmail.com] Skickat: den 4 december 2017 23:09 Till:

...# a data > frame, which looks like a matrix but is not a matrix. > # Read the Introduction to R about these two types carefully. > # Each column in a data frame can have a different type of data, # but in > a vector or a matrix all rows and columns must be of # the same type. > > dtam <- as.matrix( dta ) > > # If you have any values that R cannot clearly identify as numeric # or > integer, then the next most general type of variable is # character... and > that is often something that trips up newbies, # though I have no evidence > that you have any non-numeric...