Created
December 13, 2022 22:32
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plotting sjPlots in a grid
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| library(lme4) | |
| library(sjPlot) | |
| set.seed(101) | |
| n <- 1e3 ## obs per group | |
| ns <- 4 ## groups | |
| dd <- data.frame(s = rep(1:ns, each= n), | |
| f = factor(sample(1:20, size = n*ns, replace = TRUE)), | |
| x = rnorm(n*ns)) | |
| sims <- lapply(1:ns, | |
| function(i) simulate(~x + (1|f), | |
| family = poisson, | |
| newdata = subset(dd, s==i), | |
| newparams = list(beta = c(1,1), theta = 1))[[1]]) | |
| dd$y <- unlist(sims) | |
| fits <- lapply(1:ns, | |
| function(i) glmer(y~x+(1|f), | |
| family = poisson, | |
| data = subset(dd, s==i))) | |
| plots <- lapply(fits, function(f) plot_model(f, type = "pred")$x) | |
| cowplot::plot_grid(plotlist = plots) |
Thank you so much for all your help here!!!
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You can still use
parameters::compare_parameters(fits)to get the raw data, but then probably need to build the plot from scratch.