You can use recycling to simplify things:
> set.seed(42)
> x <- seq(0,12)
> bin.df <- as.data.frame(
+ rbind( cbind(x, prob=dbinom(x,12,1/6), p=1/6),
+ cbind(x, prob=dbinom(x,12,1/3), p=1/3),
+ cbind(x, prob=dbinom(x,12,1/2), p=1/2),
+ cbind(x, prob=dbinom(x,12,2/3), p=2/3)
+ ))
> bin.df$p <- factor(bin.df$p, labels=c("1/6", "1/3", "1/2",
"2/3"))
> str(bin.df)
'data.frame': 52 obs. of 3 variables:
$ x : num 0 1 2 3 4 5 6 7 8 9 ...
$ prob: num 0.1122 0.2692 0.2961 0.1974 0.0888 ...
$ p : Factor w/ 4 levels "1/6","1/3","1/2",..: 1 1 1 1 1 1 1
1 1 1 ...
>
> bin.df.2 <- data.frame( x,
+ prob = c(dbinom(x,12,1/6), dbinom(x,12,1/3),
+ dbinom(x,12,1/2), dbinom(x,12,2/3)),
+ p = rep(c(1/6, 1/3, 1/2, 2/3), each=length(x))
+ )
> bin.df.2$p <- factor(bin.df$p, labels=c("1/6", "1/3", "1/2",
"2/3"))
> str(bin.df.2)
'data.frame': 52 obs. of 3 variables:
$ x : int 0 1 2 3 4 5 6 7 8 9 ...
$ prob: num 0.1122 0.2692 0.2961 0.1974 0.0888 ...
$ p : Factor w/ 4 levels "1/6","1/3","1/2",..: 1 1 1 1 1 1 1
1 1 1 ...
> all.equal(bin.df, bin.df.2)
[1] TRUE
-------------------------------------
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352
-----Original Message-----
From: r-help-boun...@r-project.org
[mailto:r-help-boun...@r-project.org] On Behalf Of Michael
Friendly
Sent: Monday, December 2, 2013 8:48 AM
To: R-help
Subject: [R] generate multiple probability distributions
I want to generate a collection of probability distributions in
a data
frame, with
varying parameters. There must be some simpler way than what I
have below
(avoiding rbind and cbind), but I can't quite see it.
x <- seq(0,12)
bin.df <- as.data.frame(
rbind( cbind(x, prob=dbinom(x,12,1/6), p=1/6),
cbind(x, prob=dbinom(x,12,1/3), p=1/3),
cbind(x, prob=dbinom(x,12,1/2), p=1/2),
cbind(x, prob=dbinom(x,12,2/3), p=2/3)
))
bin.df$p <- factor(bin.df$p, labels=c("1/6", "1/3", "1/2",
"2/3"))
str(bin.df)
> str(bin.df)
'data.frame': 52 obs. of 3 variables:
$ x : num 0 1 2 3 4 5 6 7 8 9 ...
$ prob: num 0.1122 0.2692 0.2961 0.1974 0.0888 ...
$ p : Factor w/ 4 levels "1/6","1/3","1/2",..: 1 1 1 1 1 1 1
1 1 1 ...
>
--
Michael Friendly Email: friendly AT yorku DOT ca
Professor, Psychology Dept. & Chair, Quantitative Methods
York University Voice: 416 736-2100 x66249 Fax: 416
736-5814
4700 Keele Street Web: http://www.datavis.ca
Toronto, ONT M3J 1P3 CANADA
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______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
