perm.t.test: Permutation t-test
In Deducer: A Data Analysis GUI for R
Description
Usage
Arguments
Details
Value
See Also
Examples
Description
Two Sample t-test via monte-carlo permutation
Usage
1
2
perm.t.test(x,y,statistic=c("t","mean"),
alternative=c("two.sided", "less", "greater"), midp=TRUE, B=10000)
Arguments
x
a numeric vector containing the first sample
y
a numeric vector containing the second sample
statistic
The statistic to be permuted. See details
alternative
The alternative hypothesis
midp
should the mid p-value be used
B
The number of monte-carlo samples to be generated
Details
This function performs a two sample permutation test. If the mean is permuted, then the test assumes exchangability
between the two samples. if the t-statistic is used, the test assumes either exchangability or a sufficiently large
sample size. Because there is little lost in the way of power, and the assumptions are weaker, the t-statistic is
used by default.
Value
A list with class "htest" containing the following components:
statistic
The observed value of the statistic.
p.value
the p-value for the test.
method
a character string indicating the type of test performed.
data.name
a character string giving the name(s) of the data.
B
The number of samples generated
alternative
the direction of the test
See Also
Examples
1
perm.t.test(rnorm(100),runif(100,-.5,.5))
Deducer documentation built on May 2, 2019, 8:35 a.m.
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Description Usage Arguments Details Value See Also Examples
Description
Two Sample t-test via monte-carlo permutation
Usage
1 2 | perm.t.test(x,y,statistic=c("t","mean"),
alternative=c("two.sided", "less", "greater"), midp=TRUE, B=10000)
|
Arguments
x |
a numeric vector containing the first sample |
y |
a numeric vector containing the second sample |
statistic |
The statistic to be permuted. See details |
alternative |
The alternative hypothesis |
midp |
should the mid p-value be used |
B |
The number of monte-carlo samples to be generated |
Details
This function performs a two sample permutation test. If the mean is permuted, then the test assumes exchangability between the two samples. if the t-statistic is used, the test assumes either exchangability or a sufficiently large sample size. Because there is little lost in the way of power, and the assumptions are weaker, the t-statistic is used by default.
Value
A list with class "htest" containing the following components:
statistic |
The observed value of the statistic. |
p.value |
the p-value for the test. |
method |
a character string indicating the type of test performed. |
data.name |
a character string giving the name(s) of the data. |
B |
The number of samples generated |
alternative |
the direction of the test |
See Also
Examples
1 | perm.t.test(rnorm(100),runif(100,-.5,.5))
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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