Open jeff-hughes opened 4 months ago
Reproducible example:
set.seed(123) pre_treat <- rnorm(50) post_treat <- 2 + rnorm(50) pre_control <- rnorm(50) post_control <- rnorm(50) dv <- c(pre_treat, post_treat, pre_control, post_control) pre_post <- factor(rep(c(rep(0, 50), rep(1, 50)), 2)) condition <- factor(c(rep(0, 100), rep(1, 100))) id <- c(rep(1:50, 2), rep(51:100, 2)) data <- data.frame(id, condition, pre_post, dv) model <- nlme::lme(dv ~ condition * pre_post, random=~1|id, data) slopes <- reghelper::simple_slopes(model)
Code fails with error:
Error in lme.formula(fixed = dv ~ condition * pre_post, data = mdata, : could not find function "lme.formula"
Importing nlme library first with library(nlme) seems to correct the issue.
library(nlme)
Reproducible example:
Code fails with error:
Error in lme.formula(fixed = dv ~ condition * pre_post, data = mdata, : could not find function "lme.formula"
Importing nlme library first with
library(nlme)
seems to correct the issue.