chronological order, make sure the data are in order by date.nconc <- c(15, 12, 14, 20, 8.5) # nitrate concentrationnitrate <- data.frame(cbind(nconc, ndate))
名称与以前的名称不匹配 #store data frame that holds sulfate amount and nitrateamount that meet threshold and are complete cases
**data <- data.frame(sulfate = numeric(0), nitratecomplete_cases <- current_dataset[complete.cases(curr
of data files and a threshold for complete cases and calculates the correlation between sulfate and nitrateobserved observations (on all variables) required to compute
## the correlation between nitratethis will be a vector that is a subset of output1 that matches the &
read.csv(files_list[i])) dat_subset <- dat[which(dat$ID %in% id),names(dat) %in% c("sulfate","nitrate"], na.rm=TRUE) #identifies the mean while stripping out the NAs for "nitrate"预期输出:
pollutantmean("specdata", "sulfate