On Thu, 13 Aug 2009, Mcdonald, Grant wrote:


________________________________________
From: Mcdonald, Grant
Sent: 13 August 2009 13:08
To: [email protected]
Subject: R graphics

Dear sir,

I am trying to create a barplot showing propotions,

So my data is in the format of a vector containing 0s and 1s (i.e.successful or 
not) with a corresponding vector with two  catogorical levels.

success        age
1                     old
0                    young
0                     young
1                     old

I want to show a bar plot with a ylim=c(0,1) and an x-axis showing the two ages 
and the proportion of success only as filled bars.

after making success a factor and plotting against age using: plot(success~age)

the graphic shows age on the x and proportion on the yaxis as i want.  However 
for each age it shows the total proportion split into both success and 
failures.  I would however just like to show the prop successes without the 
failures stajed on top.

You can play around with the graphical parameters of ?spineplot. For example, I copied your data into a "dat.txt" file and read the data via

  ## read data
  dat <- read.table("dat.txt", header = TRUE)

  ## transform labels
  dat$successful <- factor(dat$successful, levels = 1:0, labels =
    c("success", "failure"))
  dat$maleage <- factor(dat$maleage, labels = c("old", "young"))

And then you can produce various types of plots changing color, labeling etc.

  ## simple spine plot
  plot(successful ~ maleage, data = dat)

  ## hide failures and suppress y-axis labels
  plot(successful ~ maleage, data = dat, col = gray(c(0.3, 1)),
    border = "transparent", yaxlabels = "")

Or you can also use barplot() and create this by hand:

  ## create table
  tab <- xtabs(~ maleage + successful, data = dat)

  ## simple barplot of success proportions
  barplot(prop.table(tab, 1)[,1])

  ## barplot with proportional x-axis and labeling etc.
  barplot(prop.table(tab, 1)[,1], width = margin.table(tab, 1),
    col = gray(0.3), space = 0.1, ylim = c(0, 1),
    ylab = "proportion of succsess")

hth,
Z

data frame is below:

successful      maleage
1       O
1       Y
1       Y
1       Y
1       O
1       O
1       Y
1       O
1       Y
1       O
1       O
1       Y
1       O
1       Y
1       Y
1       Y
1       O
1       O
1       Y
1       Y
1       O
1       Y
1       O
1       Y
1       Y
1       Y
1       O
1       Y
1       Y
1       O
1       Y
1       O
1       O
1       Y
1       O
1       Y
1       O
1       Y
1       Y
1       O
1       Y
1       Y
1       O
1       Y
1       Y
1       Y
1       O
1       O
1       Y
1       O
1       Y
1       Y
1       Y
1       Y
1       Y
1       Y
1       Y
1       Y
1       Y
1       O
1       Y
1       O
1       Y
1       Y
1       O
1       O
1       Y
1       Y
1       O
1       Y
1       O
1       Y
1       Y
1       Y
1       O
1       Y
1       O
1       Y
1       Y
1       Y
1       O
1       Y
1       O
1       Y
1       Y
1       O
1       Y
1       Y
1       O
1       O
1       Y
1       Y
1       Y
1       O
0       Y
NA      O
0       O
NA      Y
1       Y
1       O
NA      O
NA      Y
0       O
NA      Y
0       O
NA      Y
1       Y
1       O
0       O
0       Y
NA      O
0       Y
NA      O
0       Y
0       Y
NA      O
NA      O
NA      O
NA      Y
NA      Y
0       O
NA      O
NA      Y
NA      O
1       O
0       O
0       Y
NA      O
NA      Y
1       O
0       O
0       O
0       O
NA      Y
0       O
0       Y
NA      Y
0       O
NA      O
0       Y
NA      O
1       O
0       Y
NA      O
NA      O
NA      O
0       O
0       O
0       O
0       Y
0       O
0       O
0       O
0       Y
NA      O
0       Y
0       O
NA      Y
NA      O
0       O
NA      Y
NA      O
0       O
NA      O
NA      O
0       O
NA      Y
NA      O
NA      Y
0       O
NA      O
1       Y
NA      Y
NA      O
1       O
1       Y
0       O
0       Y
0       O
0       Y
0       Y
1       Y

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______________________________________________
[email protected] mailing list
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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