chisq_p: Perform a Chi-Square Test
In jrosen48/konfound: Quantify the Robustness of Causal Inferences
View source: R/nonlinear_auxiliary.R
chisq_p R Documentation
Perform a Chi-Square Test
Description
'chisq_p' calculates the p-value for a chi-square test given a contingency table.
Usage
chisq_p(a, b, c, d)
Arguments
a
Frequency count for row 1, column 1.
b
Frequency count for row 1, column 2.
c
Frequency count for row 2, column 1.
d
Frequency count for row 2, column 2.
Value
P-value from the chi-square test.
jrosen48/konfound documentation built on Nov. 21, 2024, 4:42 a.m.
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View source: R/nonlinear_auxiliary.R
| chisq_p | R Documentation |
Perform a Chi-Square Test
Description
'chisq_p' calculates the p-value for a chi-square test given a contingency table.
Usage
chisq_p(a, b, c, d)
Arguments
a |
Frequency count for row 1, column 1. |
b |
Frequency count for row 1, column 2. |
c |
Frequency count for row 2, column 1. |
d |
Frequency count for row 2, column 2. |
Value
P-value from the chi-square test.
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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