[R] Excluding "small data" from plot.

[PIKAL Petr]

Hi

There is probably better solution but I would aggregate

lll <- aggregate(ltrfreq$letterfreq, list(ltrfreq$letter, ltrfreq$type), sum)

order

ooo<-order(lll$x, decreasing=T)

split and sapply
lll<- lll[ooo,]
lll <- lapply(split(lll, lll$Group.2), head, 8)

and do.call rbind to get 8 letters for good and bad plotting.

lll<-do.call(rbind, lll)
library(ggplot2)
ggplot(lll,aes(x=Group.1,y=x, fill=Group.2), color=Group.2) +
+  stat_summary(fun.y=sum,position=position_dodge(),geom="bar")


Cheers
Petr


> -----Original Message-----
> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Kieran
> Sent: Wednesday, February 17, 2016 10:20 AM
> To: R-help at r-project.org
> Subject: [R] Excluding "small data" from plot.
>
> To R-help users:
>
> I want to use ggplot two plot summary statistics on the frequency of
> letters from
> a page of text. My data frame has four columns:
>
> (1) The line number [1 to 30]
> (2) The letter [a to z]
> (3) The frequency of the letter [assuming there is 80 letters per line]
> (4) The factor 'type': bad or good (purely artificial factor)
>
> I want to achieve the following plot:
>
> (a) Bar plot with an x-axis to be the letters and the y-axis the sum of
> 30 letter frequencies from each line of each letter.
> (b) Split each bar (for a letter) into two bars for 'good' and 'bad'
> types.
> (c) Display the union of the top 8 most frequency used letters for both
> types
> 'good' and 'bad'.
>
> By point (c) I mean: if a,e,f,h,i,t,s,r are the most frequent letter of
> type
> 'good' and a,e,f,h,i,m,l,p are the most frequent letter of type 'bad'.
> Then
> I would like my plot to feature the letters a,e,f,h,i,t,s,r,m,l,p.
>
> Here is my code:
>
> # There will be 30 lines and we want to record the frequency of each
> letter
> # on each line.
>
> lines <- c(rep(1:30, each=26))
> letter <- c(rep(letters, times=30))
>
> # We have taken the letter frequencies from
> # http://www.math.cornell.edu/~mec/2003-
> 2004/cryptography/subs/frequencies.html
>
> freq <- c(8.12, 1.49, 2.71, 4.32, 12.02, 2.30, 2.03, 5.92, 7.31, 0.10,
> 0.69,
> 3.98, 2.61, 6.95, 7.68, 1.82, 0.11, 6.02, 6.28, 9.10, 2.88, 1.11, 2.09,
> 0.17,
> 2.11, 0.07)
> freq <- freq/100
>
>
> # We assume each line contains 80 letters and change the seed for each
> line
> # for variability.
>
> letterfreq <- integer()
> for (i in 1:30) {
>     set.seed(i)
>     s<-data.frame(sample(letters, size = 80, replace = TRUE, prob =
> freq))
>     names(s) <- "ltr"
>     s$ltr <- factor(s$ltr, levels = letters)
>     frq<-as.data.frame(table(s))
>     letterfreq <- append(letterfreq, frq$Freq)
> }
>
> ltrfreq <- data.frame(lines, letter, letterfreq)
>
> # Add an artificial factor column _type_: good/bad. So each pair
> # (week, letter) has type 'good' or 'bad' with equal probability.
> # Set the seed for reproducibility.
>
> set.seed(999)
> ltrfreq$type <-  factor(sample(c("good","bad"), size = 780, replace =
> TRUE,
>     prob = c(0.5,0.5)))
>
>
> # Here is the plot I want but this includes all 26 letters.
>
> ggplot(ltrfreq,aes(x=factor(letter),y=letterfreq, fill=type),
> color=type) +
>   stat_summary(fun.y=sum,position=position_dodge(),geom="bar")
>
> Best regards,
> Kieran.
>
> ______________________________________________
> 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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