chi.prob: Cumulative Probability of the Chi-square Distribution
In tjssu/Rstat: Basic Statistical Methods in R
Description
Usage
Arguments
Details
Value
Examples
Description
Cumulative Probability of the Chi-square Distribution
Usage
1
chi.prob(nu, xp, pup = 0.995, mt, dig = 4)
Arguments
nu
Degree of freedom of the chi-square distribution
xp
Vector of specific x-axis values
pup
Upper limit of probabilities for quantiles, Default: 0.995
mt
Graph title
dig
Number of digits below the decimal point, Default: 4
Details
DETAILS
Value
None.
Examples
1
2
k= 1:10; nu= 5
chi.prob(nu, k)
tjssu/Rstat documentation built on Aug. 8, 2020, 12:38 p.m.
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Description Usage Arguments Details Value Examples
Description
Cumulative Probability of the Chi-square Distribution
Usage
1 | chi.prob(nu, xp, pup = 0.995, mt, dig = 4)
|
Arguments
nu |
Degree of freedom of the chi-square distribution |
xp |
Vector of specific x-axis values |
pup |
Upper limit of probabilities for quantiles, Default: 0.995 |
mt |
Graph title |
dig |
Number of digits below the decimal point, Default: 4 |
Details
DETAILS
Value
None.
Examples
1 2 | k= 1:10; nu= 5
chi.prob(nu, k)
|
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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