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Plot random intercepts from lmer model

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1

I ran a regression that looks as follows:

fit <- lmer(support ~ 1 + (1 | country), data = df, REML = F)

I want to plot the varying intercepts for the different countries. I tried with the following code:

p1 <- ggplot(fit, aes(support, colour=country)) + geom_line()

Unfortunately, it does not work. Does anyone have an idea what to do?

r ggplot2 regression lme4

share|improve this question

edited Mar 24 at 11:23

user20650

17.6k43771

asked Mar 24 at 8:22

Sean BurgessSean Burgess

124

• 
  
  
  

  
  1
  

  
  
  
  
  
  

  
  
  ggplot() needs a data.frame for plotting. I don't know lmer() but I would be surprised if it generates a data frame. The package broom supports a number of regression models and turns the results into tidy data.frames.
  
  – JBGruber
  Mar 24 at 10:27
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  there are some plot methods, but use lattice : library(lattice) ; dotplot(ranef(fit, condVar=TRUE)) ; dotplot(coef(fit)). Shouldn't be difficult to grab the relevant data If you really need this in ggplot.
  
  – user20650
  Mar 24 at 11:20
  
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  bbolker.github.io/mixedmodels-misc/… gives some plots as well
  
  – user20650
  Mar 24 at 12:01
  

  
  
  
  

add a comment | 

1

I ran a regression that looks as follows:

fit <- lmer(support ~ 1 + (1 | country), data = df, REML = F)

I want to plot the varying intercepts for the different countries. I tried with the following code:

p1 <- ggplot(fit, aes(support, colour=country)) + geom_line()

Unfortunately, it does not work. Does anyone have an idea what to do?

r ggplot2 regression lme4

share|improve this question

edited Mar 24 at 11:23

user20650

17.6k43771

asked Mar 24 at 8:22

Sean BurgessSean Burgess

124

• 
  
  
  

  
  1
  

  
  
  
  
  
  

  
  
  ggplot() needs a data.frame for plotting. I don't know lmer() but I would be surprised if it generates a data frame. The package broom supports a number of regression models and turns the results into tidy data.frames.
  
  – JBGruber
  Mar 24 at 10:27
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  there are some plot methods, but use lattice : library(lattice) ; dotplot(ranef(fit, condVar=TRUE)) ; dotplot(coef(fit)). Shouldn't be difficult to grab the relevant data If you really need this in ggplot.
  
  – user20650
  Mar 24 at 11:20
  
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  bbolker.github.io/mixedmodels-misc/… gives some plots as well
  
  – user20650
  Mar 24 at 12:01
  

  
  
  
  

add a comment | 

I ran a regression that looks as follows:

fit <- lmer(support ~ 1 + (1 | country), data = df, REML = F)

I want to plot the varying intercepts for the different countries. I tried with the following code:

p1 <- ggplot(fit, aes(support, colour=country)) + geom_line()

Unfortunately, it does not work. Does anyone have an idea what to do?

r ggplot2 regression lme4

share|improve this question

edited Mar 24 at 11:23

user20650

17.6k43771

asked Mar 24 at 8:22

Sean BurgessSean Burgess

124

fit <- lmer(support ~ 1 + (1 | country), data = df, REML = F)

p1 <- ggplot(fit, aes(support, colour=country)) + geom_line()

share|improve this question

edited Mar 24 at 11:23

user20650

17.6k43771

asked Mar 24 at 8:22

Sean BurgessSean Burgess

124

share|improve this question

edited Mar 24 at 11:23

user20650

17.6k43771

asked Mar 24 at 8:22

Sean BurgessSean Burgess

124

edited Mar 24 at 11:23

user20650

17.6k43771

edited Mar 24 at 11:23

user20650

17.6k43771

asked Mar 24 at 8:22

Sean BurgessSean Burgess

124

asked Mar 24 at 8:22

Sean BurgessSean Burgess

124