Also, you could try:
library(plyr)
indx <- ddply(Prices.df,.(rowID),summarise,
!findInterval(Price,unique(upperLimit[match(rowID,names(upperLimit))])))[,2]
Prices.df[indx,]
Prices.df[!indx,]
#or
indx1 <- !with(Prices.df,ave(seq_along(Price),rowID,FUN=function(x)
findInterval(Price[x],unique(upperLimit[match(rowID[x],names(upperLimit))]))))
Prices.df[indx1,]
Prices.df[!indx1,]
A.K.
On Saturday, February 15, 2014 12:19 PM, arun <smartpink...@yahoo.com> wrote:
May be this helps:
Prices.df <- read.table(text="rowID Price
1 'Full Season' 417.95
2 'Full Season' 679.43
3 'Full Season' 839.79
4 'Half Season' 159.39
5 'Half Season' 256.93",sep="",header=TRUE,stringsAsFactors=FALSE)
upperLimit <- c(`Full Season`=779.12, `Half Season`=231.11)
rejectdf <- do.call(rbind,lapply(names(upperLimit),function(x) {x1 <-
subset(Prices.df,rowID==x); indx <-
with(x1,cut(Price,breaks=c(-Inf,upperLimit[x],Inf),labels=FALSE));
x1[indx>1,]}))
acceptdf <- do.call(rbind,lapply(names(upperLimit),function(x) {x1 <-
subset(Prices.df,rowID==x); indx <-
with(x1,cut(Price,breaks=c(-Inf,upperLimit[x],Inf),labels=FALSE));
x1[indx==1,]}))
A.K.
On Saturday, February 15, 2014 4:36 AM, Barry King <barry.k...@qlx.com> wrote:
I wish to compare prices in a dataframe to calculated upper limits and
then reject (collect in a reject dataframe) those rows with prices that
are above the upper limit but I am having trouble aligning the variable
value in the Prices dataframe with the names in the upper limit file.
> upperLimit
Full Season Half Season
779.12 231.11
> Prices.df
rowID Price
1 Full Season 417.95
2 Full Season 679.43
3 Full Season 839.79
4 Half Season 159.39
5 Half Season 256.93
Any assistance you can provide is greatly appreciated.
Barry King
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