Hello, I was hunting for something else and came across your old message, and I noticed that it had never received an answer (at least on the list). I really tried to figure out what might be going on just by looking at your code, but I could not get enough information from your email and your code is not reproducible. For instance, in your function, you reference other functions that are not part of base R (e.g., calculateGroupMean() ). Also, your data, plan1, plan2, etc. and u_proj. If you still have a question about your function, please provide a reproducible example.
Best regards, Josh On Wed, Feb 10, 2010 at 4:06 PM, Chaehan So <chaehan...@gmail.com> wrote: > Dear R-helpers, > > my little function below calculates the group score (tmpGroupMean) of an > item, > appends a "_mean" on its name and stores its value on this name. > However, it does not calculate the mean of these scores (LVMean) in the same > row correctly, > as you can see in the below output which strangely also contains NAs. > What is wrong?? > > Thanks for any hint!!! > > ###### > ## start > > groupMeanForAllItems <- function(inputDataFrame, groupVector) > { > # build up result dataframe starting with group means > result <- data.frame(unique(groupVector)); > # build up result column labels starting with group name > resultNames <- "groupname"; > for (itemName in names(inputDataFrame)) > { > # compute mean by group > tmpGroupMean <- calculateGroupMean(inputDataFrame[, itemName], groupVector); > result <- cbind(result, tmpGroupMean); > # generate new column name > newColumnName <- sprintf("%s_mean", itemName); > resultNames <- c(resultNames, newColumnName) > } > > LVMean = mean(result, na.rm=TRUE); > result <- cbind(result, LVMean) > resultNames <- c(resultNames, "LVMean") > > names(result) <- resultNames; > return(result) > } > > rPlanning <- data.frame(plan1, plan2, plan3, plan4, plan5, plan6, plan7) > a <- groupMeanForAllItems(rPlanning, u_proj) > print(a) > > ## end > ######## > > Output: > > groupname plan1_mean plan2_mean plan3_mean plan4_mean plan5_mean > plan6_mean plan7_mean LVMean 1 a 4.375.000 5.625.000 5.500.000 5.250.000 > 6.500.000 4.375.000 5.125.000 NA 2 b 6.400.000 6.200.000 6.600.000 6.600.000 > 6.000.000 4.000.000 5.600.000 5.890.628 3 c 6.400.000 6.400.000 6.600.000 > 6.800.000 5.400.000 6.200.000 5.600.000 5.789.459 4 d 6.000.000 5.666.667 > 5.000.000 5.666.667 5.333.333 4.333.333 5.000.000 5.821.688 5 e 4.750.000 > 3.250.000 4.000.000 4.500.000 4.500.000 2.250.000 2.250.000 5.866.753 6 f > 3.000.000 4.250.000 3.500.000 5.000.000 4.500.000 2.000.000 4.750.000 > 5.943.680 7 g 6.000.000 6.750.000 6.000.000 5.750.000 5.000.000 5.250.000 > 3.750.000 5.091.667 8 h 6.000.000 5.666.667 5.666.667 6.000.000 5.000.000 > 3.666.667 5.666.667 5.260.368 9 i 7.000.000 3.000.000 3.500.000 6.500.000 > 4.500.000 5.000.000 6.500.000 NA 10 j 6.400.000 5.800.000 6.400.000 > 6.200.000 6.600.000 5.400.000 6.200.000 5.890.628 11 k 6.000.000 6.000.000 > 6.000.000 4.000.000 5.000.000 6.000.000 6.000.000 5.789.459 12 l 6.500.000 > 6.750.000 7.000.000 6.750.000 7.000.000 6.250.000 7.000.000 5.821.688 13 m > 6.666.667 6.500.000 6.666.667 6.500.000 6.500.000 5.833.333 5.500.000 > 5.866.753 14 n 6.571.429 6.142.857 6.142.857 5.857.143 5.714.286 5.428.571 > 4.714.286 5.943.680 15 o 6.666.667 6.666.667 5.666.667 4.666.667 5.666.667 > 4.666.667 5.000.000 5.091.667 16 p 5.857.143 6.000.000 6.142.857 5.857.143 > 5.571.429 5.571.429 6.142.857 5.260.368 > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Joshua Wiley Senior in Psychology University of California, Riverside http://www.joshuawiley.com/ ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.