Hello,
I am working on a Coursera assignment and have combined 332 files into a
single data frame called "dat". The dataframe has 4 columns,
1. Date
2. Sulfate (numerical values)
3. Nitrate (numerical values)
4. ID # (numerical values).
Our assignment is to write a function pollutantmean <- function(directory,
pollutant, ID). whereby we can calculate the mean by inputting the
pollutant name and ID #.
I have reached the stage of subsetting the date e.g. by ID # 1-10, however
when I do so and then calculate the mean of this subset I receive the NaN
message (even though I have instructed R to disregard the "NA"'s).
*Beginning Code: *
getwd()
read.csv(specdata)
specdata <- ("C:/Users/rober/specdata")
list.files(specdata)
files_full <- list.files(specdata, full.names=TRUE)
files_full
dat <- data.frame()
for (i in 1:332){
dat <- rbind(dat,read.csv(files_full[i]))
}
str(dat)
mean(dat$sulfate, na.rm=TRUE)
*Code which generated the NaN message. *
dat1_10 <- dat[which(dat[,ID] ==1:10),]
mean(dat1_10$sulfate, na.rm=TRUE)
Am I making a mistake in subsetting the rows with ID's 1:10? Any advice
would be appreciated.
Thank you,
Robert
Robert J. Piliero
Cell: (617) 283 1020
38 Linnaean St. #6
Cambridge, MA, 02138
USA
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