Excluding "small data" from plot.

l1<-sample(letters[1:10], 5)
l2<-sample(letters[1:10], 5)
x1<-data.frame(l1, x=rnorm(5))
x2<-data.frame(l2)
x1

x2

merge(x1, x2, by.x="l1",by.y="l2", all=TRUE)

-----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.

jsou ur?eny pouze jeho adres?t?m.

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