| clpm_poly_r {crosslag} | R Documentation |
Title Nonlinear Cross Lag Analysis based on Polynomial linear regression: autoregression
Description
Title Nonlinear Cross Lag Analysis based on Polynomial linear regression: autoregression
Usage
clpm_poly_r(xname, yname, data1, data2, adjust = FALSE, adjust_name = NULL)
Arguments
xname |
If cross lagged analysis is used between x and y, 'xname' is the name of x |
yname |
If cross lagged analysis is used between x and y, 'xname' is the name of x |
data1 |
A dataframe containing data of x and y at the same time point. If covariate adjustments are made (adjust=T), data of covariates should also be included. The input 'xname','yname' and 'adjust_name' is written in the same way among the 'data1' column names |
data2 |
A dataframe containing data of x and y at the another time point. If covariate adjustments are made (adjust=T), data of covariates should also be included. The input 'xname','yname' and 'adjust_name' is written in the same way among the 'data2' column names |
adjust |
The default value is F. If you want to perform covariate adjustments on x and y based on adjust_target(), please use T. |
adjust_name |
The name of the covariate, corresponding to the data contained in data1 or data2. If there are multiple covariates, they need to be saved in a vector. |
Value
A dataframe containing the result of Nonlinear Cross Lag Analysis after polynomial regression: Xt~X1,Yt~Y1
Examples
data(test_data1)
data(test_data2)
# Not adjusting for covariates
result <- clpm_poly_r(xname = "ASI",yname = "PWRI",
data1 = test_data1,data2 = test_data2,adjust = FALSE)
# Adjust for covariates
result_ad <- clpm_poly_r(xname = "ASI",yname = "PWRI",
data1 = test_data1,data2 = test_data2,
adjust = TRUE,adjust_name=c("HDL_C","LDL_C"))