Dear R subscribees, First, I am new to R and I apologize if the question is naive. I am trying to find out where arguments specifications can be found. For example, the code below (at the very bottom of this email) contains the argument 'digits' in the function 'lin' which printout my output to the 3rd decimal place. Somebody showed me the 'digits' argument, but did not show me where to go to find other available arguments that can be used in functions. (I have emailed this person but receive an email saying he is out of the office)
To elaborate further, if you look at some of my code you can see where I specify in the cov(x,y,use="pairwise.complete.obs") or var(x,use="pairwise.complete.obs"), etc. Now for the arguments in the 'lin' function I would like to specify: lin <- function (x,y, digits=3, use="all.obs") or something equivalent that will delete the case if I have NA in either the x or y variable/vector. (I get the 'use=all.obs' by just typing 'cov' at the R prompt and looking at the function body. I have tried various combination of the 'use=all.obs' along with what looks to be necessary code related to it such as "'na.method <- pmatch(use, c("all.obs", "complete.obs", "pairwise.complete.obs"))' and .Internal(cov(x, y, na.method)") My question is where did the 'use=all.obs' argument come from. Is this basically a function/object/argument(???) that I, a R user, have access to or did the originator of this function create an object which is compiled within the cor/cov/var functions, etc? If so, how do I know what function arguments are available to me or which I have to create. If there are arguments available to me where do I find them? I hope this makes sense and appreciate any help you can give me in sending me on the right path to understand this. Thanks, Craig Ziegler ****************************************************************************** lin <- function (x,y, digits=3) # How did the person who knew about # the digits argument know about # this argument other than through # experience { lincc <- (2 * cov(x,y,use="pairwise.complete.obs")) / (var(x,use="pairwise.complete.obs") + (var(y,use="pairwise.complete.obs"))+ ((mean(x,na.rm=TRUE) - mean(y,na.rm=TRUE))^2)) print(lincc) etc... } ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help