chi.goodness: Chi-squared goodness of fit
In tomor14/Examst522:
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Calculate the chi-squared goodness of fit value from a random variable and a vector with the probabilities for the outcome for the variable.
Usage
1
chi.goodness(x, p)
Arguments
x
is a categorical variable. It has to be numeric
p
is the probability of all outcomes of x. If p is not given, the outcome has uniform probability. It has to be numeric
Value
Returns the chi-squared goodness of fit value.
Author(s)
Tobias Mortensen
Department of mathematics and computer science (IMADA)
University of southern Denmark, Odense
tomor14@student.sdu.dk
Examples
1
chi.goodness(x=c(1,3,4,1,2),p=c(.2,.3,.1,.2,.2))
tomor14/Examst522 documentation built on May 31, 2019, 6:20 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Calculate the chi-squared goodness of fit value from a random variable and a vector with the probabilities for the outcome for the variable.
Usage
1 | chi.goodness(x, p)
|
Arguments
x |
is a categorical variable. It has to be numeric |
p |
is the probability of all outcomes of x. If p is not given, the outcome has uniform probability. It has to be numeric |
Value
Returns the chi-squared goodness of fit value.
Author(s)
Tobias Mortensen
Department of mathematics and computer science (IMADA)
University of southern Denmark, Odense
tomor14@student.sdu.dk
Examples
1 | chi.goodness(x=c(1,3,4,1,2),p=c(.2,.3,.1,.2,.2))
|
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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