Created

Embed URL

HTTPS clone URL

SSH clone URL

You can clone with HTTPS or SSH.

Download Gist

A coefficient plot for multiple models

View coefficent_plot_walkthrough.R
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47
doInstall <- TRUE
toInstall <- c("ggplot2")
if(doInstall){install.packages(toInstall, repos = "http://cran.us.r-project.org")}
lapply(toInstall, library, character.only = TRUE)
 
ANES <- read.csv("http://www.oberlin.edu/faculty/cdesante/assets/downloads/ANES.csv")
ANES <- ANES[ANES$year == 2008, -c(1, 11, 17)] # Limit to just 2008 respondents,
head(ANES) # remove some non-helpful variables
 
# Fit several models with the same DV:
model1 <- lm(pid7 ~ ideo7 + female + age + south, data = ANES)
model2 <- lm(pid7 ~ ideo7 + female + age + female:age, data = ANES)
model3 <- lm(pid7 ~ ideo7, data = ANES) # These are just arbitrary examples
 
# Put model estimates into temporary data.frames:
model1Frame <- data.frame(Variable = rownames(summary(model1)$coef),
Coefficient = summary(model1)$coef[, 1],
SE = summary(model1)$coef[, 2],
modelName = "South Indicator")
model2Frame <- data.frame(Variable = rownames(summary(model2)$coef),
Coefficient = summary(model2)$coef[, 1],
SE = summary(model2)$coef[, 2],
modelName = "Age Interaction")
model3Frame <- data.frame(Variable = rownames(summary(model3)$coef),
Coefficient = summary(model3)$coef[, 1],
SE = summary(model3)$coef[, 2],
modelName = "Univariate")
# Combine these data.frames
allModelFrame <- data.frame(rbind(model1Frame, model2Frame, model3Frame)) # etc.
 
# Specify the width of your confidence intervals
interval1 <- -qnorm((1-0.9)/2) # 90% multiplier
interval2 <- -qnorm((1-0.95)/2) # 95% multiplier
 
# Plot
zp1 <- ggplot(allModelFrame, aes(colour = modelName))
zp1 <- zp1 + geom_hline(yintercept = 0, colour = gray(1/2), lty = 2)
zp1 <- zp1 + geom_linerange(aes(x = Variable, ymin = Coefficient - SE*interval1,
ymax = Coefficient + SE*interval1),
lwd = 1, position = position_dodge(width = 1/2))
zp1 <- zp1 + geom_pointrange(aes(x = Variable, y = Coefficient, ymin = Coefficient - SE*interval2,
ymax = Coefficient + SE*interval2),
lwd = 1/2, position = position_dodge(width = 1/2),
shape = 21, fill = "WHITE")
zp1 <- zp1 + coord_flip() + theme_bw()
zp1 <- zp1 + ggtitle("Comparing several models")
print(zp1) # The trick to these is position_dodge().
Owner

Resulting image

The link for the data is not working. Can you please make the data available on some site to try out the scripts ? you can mail it at at gmail The blog is.R is very informative.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Something went wrong with that request. Please try again.