Package lm.beta works in the way of common statistical softwares like SPSS by standardizing the coefficients after estimating them using the standard deviations ... |
lm.beta: Add Standardized Regression Coefficients to Linear-Model-Objects. Description. Adds standardized regression coefficients to objects created by lm . |
12 мар. 2023 г. · lm.beta: Add Standardized Regression Coefficients to Linear-Model-Objects. Adds standardized regression coefficients to objects created by ... |
Adds standardized regression coefficients to objects created by 'lm'. Also extends the S3 methods 'print', 'summary' and 'coef' with additional boolean ... |
This function adds standardized regression coefficients to objects created by lm . Usage. lm.beta(object) ... |
In this version, all types of scales of the variables (metrical, categorical, ...), all types of contrasts, interaction effects and additional terms on both ... |
Arguments · x. An lm.beta object created by lm.beta::lm. · conf.int. Logical indicating whether or not to include a confidence interval in the tidied output. |
Package lm.beta works in the way of common statistical softwares like SPSS by standardizing the coefficients after estimating them using the standard deviations ... |
This is a read-only mirror of the CRAN R package repository. lm.beta — Add Standardized Regression Coefficients to Linear-Model-Objects. |
5 нояб. 2017 г. · You have made an error in how you scaled your variables. lm.beta does a post hoc transformation of non-standardize coefficients to ... extracting standardized coefficients from lm in R - Stack Overflow How to obtain standardized regression coefficients for bootstrapped ... Standardized regression coefficients, need to extract one from the ... How to obtain standardized betas from a svyglm() regression Другие результаты с сайта stackoverflow.com |
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