[R] Excluding "small data" from plot.
PIKAL Petr
petr.pikal at precheza.cz
Thu Feb 18 08:24:39 CET 2016
Hi
Please cc your mails to r help. Users are around the world and you could have response oslo from others.
You need to put NA in a missing good or bad letter. I would probably do merging instead of do.call but there may be other options.
Something like that.
> l1<-sample(letters[1:10], 5)
> l2<-sample(letters[1:10], 5)
> x1<-data.frame(l1, x=rnorm(5))
> x2<-data.frame(l2)
> x1
l1 x
1 d 0.7948186
2 b 1.3076922
3 j 1.8305538
4 i -0.1934532
5 e -1.5182885
> x2
l2
1 f
2 j
3 h
4 a
5 i
> merge(x1, x2, by.x="l1",by.y="l2", all=TRUE)
l1 x
1 b 1.3076922
2 d 0.7948186
3 e -1.5182885
4 i -0.1934532
5 j 1.8305538
6 a NA
7 f NA
8 h NA
Or you can use some clever combination of intersect and setdiff
?intersect
to find which letters are missing in each group.
Cheers
Petr
> -----Original Message-----
> From: Kieran [mailto:kroberts012 at gmail.com]
> Sent: Wednesday, February 17, 2016 7:37 PM
> To: PIKAL Petr
> Subject: Re: [R] Excluding "small data" from plot.
>
> Hi Petr,
>
> Thanks for you reply. This almost does what I need but there is one
> problem.
>
> Before running
>
> lll <- do.call(rbind, lll),
>
> lll is a list with two data sets: the top 8 most frequently used
> letters of bad type [e,n,a,t,o,i,h,r] and the top 8 mostly frequently
> used letters of good type [e,t,i,a,s,o,r,h]. These two groups of
> letters are almost the same (as one would expect). They differ in two
> places: n (is bad) and s (is good).
>
> After running the do.call function with rbind I get a union of these
> rows. But then when I run
>
> ggplot(lll,aes(x=Group.1,y=x, fill=Group.2), color=Group.2) +
> stat_summary(fun.y=sum,position=position_dodge(),geom="bar")
>
> For n on the x-axis I get two bars of the same colour red (=bad) For s
> on the x-axis I get two bars of the same colour blue (=good)
>
> But I really want is the 'good' value for n next to the bad value for
> 'n'. And the same for 's'. This task seems more complicated.
>
> Best,
> Kieran.
>
> On 17 February 2016 at 13:49, PIKAL Petr <petr.pikal at precheza.cz>
> wrote:
> > 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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Tento e-mail a jakékoliv k němu připojené dokumenty jsou důvěrné a jsou určeny pouze jeho adresátům.
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Nejste-li zamýšleným adresátem tohoto emailu, nejste oprávněni tento email jakkoliv užívat, rozšiřovat, kopírovat či zveřejňovat.
Odesílatel e-mailu neodpovídá za eventuální škodu způsobenou modifikacemi či zpožděním přenosu e-mailu.
V případě, že je tento e-mail součástí obchodního jednání:
- vyhrazuje si odesílatel právo ukončit kdykoliv jednání o uzavření smlouvy, a to z jakéhokoliv důvodu i bez uvedení důvodu.
- a obsahuje-li nabídku, je adresát oprávněn nabídku bezodkladně přijmout; Odesílatel tohoto e-mailu (nabídky) vylučuje přijetí nabídky ze strany příjemce s dodatkem či odchylkou.
- trvá odesílatel na tom, že příslušná smlouva je uzavřena teprve výslovným dosažením shody na všech jejích náležitostech.
- odesílatel tohoto emailu informuje, že není oprávněn uzavírat za společnost žádné smlouvy s výjimkou případů, kdy k tomu byl písemně zmocněn nebo písemně pověřen a takové pověření nebo plná moc byly adresátovi tohoto emailu případně osobě, kterou adresát zastupuje, předloženy nebo jejich existence je adresátovi či osobě jím zastoupené známá.
This e-mail and any documents attached to it may be confidential and are intended only for its intended recipients.
If you received this e-mail by mistake, please immediately inform its sender. Delete the contents of this e-mail with all attachments and its copies from your system.
If you are not the intended recipient of this e-mail, you are not authorized to use, disseminate, copy or disclose this e-mail in any manner.
The sender of this e-mail shall not be liable for any possible damage caused by modifications of the e-mail or by delay with transfer of the email.
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