[R] 1st script

[PIKAL Petr]

Hi

use list and numeric indexing. As you did not provide reproducibe example here is possible way.

dat <- data.frame(w=abs(rnorm(10)), LC09=round(runif(10)*10), LC10=round(runif(10)*10))
lll <- vector("list", 2)
k=0
for(i in 2:3) {
k=k+1
lll[[k]] <- rep(dat$w, dat[,i])
}
names(lll)<-names(dat[,2:3])
boxplot(lll)

Cheers
Petr


> -----Original Message-----
> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of
> memilanuk
> Sent: Monday, March 23, 2015 2:22 AM
> To: r-help at stat.math.ethz.ch
> Subject: [R] 1st script
>
> So... wrote my first script, rather than just using the interactive
> console.  I think I got everything working more or less the way I want,
> but I'm sure there's a ton of room for improvement.  Specifically in
> the
> way of automation - but thats where I kind of ran out of steam.  Any
> suggestions would be much appreciated.
>
> case_data.r
>
> # Import CSV file into a data frame.
> case_weights <- read.csv(file = "case_weights.csv")
>
> # For each row, take the number in the Weight column and replicate it
> # as many times as there are in each count column.
> LC09 <- rep(case_weights$Weight, case_weights$LC09)
> LC10 <- rep(case_weights$Weight, case_weights$LC10)
> LP14b1 <- rep(case_weights$Weight, case_weights$LP14b1)
> LP14b2 <- rep(case_weights$Weight, case_weights$LP14b2)
>
> # Determine the longest vector, to help with the next step.
> max.len <- max(length(LC09), length(LC10), length(LP14b1),
>               length(LP14b2))
>
> # Pad each vector with NA so they are all the same length and will
> # go in a data frame.
> LC09 <- c(LC09, rep(NA, max.len - length(LC09)))
> LC10 <- c(LC10, rep(NA, max.len - length(LC10)))
> LP14b1 <- c(LP14b1, rep(NA, max.len - length(LP14b1)))
> LP14b2 <- c(LP14b2, rep(NA, max.len - length(LP14b2)))
>
> # Stick everything back into one data frame.
> case_dat <- data.frame(LC09)
> case_dat$LC10 <- LC10
> case_dat$LP14b1 <- LP14b1
> case_dat$LP14b2 <- LP14b2
>
> # Stuff said data frame back into a CSV for use elsewhere (plot.ly).
> write.csv(case_dat, file = "expanded_case_weights.csv")
>
> # Boxplot it
> boxplot(case_dat, varwidth = TRUE, notch = TRUE, horizontal = TRUE,
>          main = "Case Weights", xlab = "Weight (grains)",
>          ylab = "Batch", las = 1, names = c("LC09", "LC10", "LP14b1",
>       "LP14b2"))
>
>
>
> --
> Shiny!  Let's be bad guys.
>
> Reach me @ memilanuk (at) gmail dot com
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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.

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