chi.probability: Chi-squared probability
In tomor14/Examst522:
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Use Monte Carlo to generate a chi-squared distribution and calculate the p-value for the distribution.
Usage
1
chi.probability(x, df, n)
Arguments
x
is the value for which the function calculate the p-value. x has to be numeric.
df
is the degrees of freedom by generating n number of random numbers for each variable. df has to be a positive integer.
n
is the number af random nubers for each variable. n has to be a positive integer.
Value
Returns the p-value for the chi-squared distribution.
Author(s)
Tobias Mortensen
Department of mathematics and computer science (IMADA)
University of southern Denmark, Odense
tomor14@student.sdu.dk
Examples
1
chi.probability(x=15, df=19, n=10000)
tomor14/Examst522 documentation built on May 31, 2019, 6:20 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Use Monte Carlo to generate a chi-squared distribution and calculate the p-value for the distribution.
Usage
1 | chi.probability(x, df, n)
|
Arguments
x |
is the value for which the function calculate the p-value. x has to be numeric. |
df |
is the degrees of freedom by generating n number of random numbers for each variable. df has to be a positive integer. |
n |
is the number af random nubers for each variable. n has to be a positive integer. |
Value
Returns the p-value for the chi-squared distribution.
Author(s)
Tobias Mortensen
Department of mathematics and computer science (IMADA)
University of southern Denmark, Odense
tomor14@student.sdu.dk
Examples
1 | chi.probability(x=15, df=19, n=10000)
|
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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