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Plot random intercepts from lmer model
Plot two graphs in same plot in RMultiple colour-scaling with lower level plots of ggplot2How to plot random intercept and slope model in RAvoid ggplot sorting the x-axis while plotting geom_bar()Plotting proper mixed models regression slopePlotting random intercepts of clmmHow to plot estimate values for a lmer regression model in R?Plot line with known slope in ggplot & add “CI”How to plot regression line for a 2x2x2 design in ggplot2 in R?lmer mixte multilevel regression not working on data without noise
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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
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
1
ggplot()
needs a data.frame for plotting. I don't knowlmer()
but I would be surprised if it generates a data frame. The packagebroom
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 uselattice
: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
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
r ggplot2 regression lme4
edited Mar 24 at 11:23
user20650
17.6k43771
17.6k43771
asked Mar 24 at 8:22
Sean BurgessSean Burgess
124
124
1
ggplot()
needs a data.frame for plotting. I don't knowlmer()
but I would be surprised if it generates a data frame. The packagebroom
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 uselattice
: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
ggplot()
needs a data.frame for plotting. I don't knowlmer()
but I would be surprised if it generates a data frame. The packagebroom
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 uselattice
: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
1
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
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
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
bbolker.github.io/mixedmodels-misc/… gives some plots as well
– user20650
Mar 24 at 12:01
add a comment |
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1
ggplot()
needs a data.frame for plotting. I don't knowlmer()
but I would be surprised if it generates a data frame. The packagebroom
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