Hi
This is (hopefully) a bit more cogent phrasing of a previous post. I'm
trying to compute a z-score to rows in a large dataframe based on values in
another dataframe. Here's the script (that does not work). 2 questons,
1) Anyone know of a more elegant way to calculate the "rounded" age value
than the nested ifelse's I've used?
2) how to reference the lookup table based on computed indices?
Thanks
Jon
# Define tables
DSTzlook <-
read.table("/Users/jween/Documents/ResearchProjects/ABC/data/DSTz.txt",
header=TRUE, sep="\t", na.strings="NA", dec=".", strip.white=TRUE)
df<-stroke
# Compute rounded age.
df$Agetmp
<-ifelse(df$Age>=89,89,ifelse(df$Age>=84,84,ifelse(df$Age>=79,79,ifelse(df$Age>=74,74,ifelse(df$Age>=69,69,ifelse(df$Age>=64,64,ifelse(df$Age>=54,54,ifelse(df$Age>=44,44,ifelse(df$Age>=34,34,ifelse(df$Age>=29,29,ifelse(df$Age>=24,24,ifelse(df$Age>=19,19,17))))))))))))
# Reference the lookup table based on computed indices
df$DSTz
<-DSTzlook[which(DSTzlook[,1]==df$Agetmp),which(DSTzlook[1,]==df$DSF+df$DSB)]
# Cleanup
#rm(df)
#df$Agetmp<-NULL
--
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