cal_rxz: Calculate R2xz based on variances and standard error
In konfound: Quantify the Robustness of Causal Inferences
View source: R/cop_pse_auxiliary.R
cal_rxz R Documentation
Calculate R2xz based on variances and standard error
Description
Calculate R2xz based on variances and standard error
Usage
cal_rxz(var_x, var_y, R2, df, std_err)
Arguments
var_x
variance of X
var_y
variance of Y
R2
coefficient of determination
df
degrees of freedom
std_err
standard error
Value
R2xz value
konfound documentation built on Oct. 17, 2024, 5:08 p.m.
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View source: R/cop_pse_auxiliary.R
| cal_rxz | R Documentation |
Calculate R2xz based on variances and standard error
Description
Calculate R2xz based on variances and standard error
Usage
cal_rxz(var_x, var_y, R2, df, std_err)
Arguments
var_x |
variance of X |
var_y |
variance of Y |
R2 |
coefficient of determination |
df |
degrees of freedom |
std_err |
standard error |
Value
R2xz value
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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