I need to bootstrap a beta regression model to check its robustness - because of a data point with a large cook's distance - with the boot package (other suggestions welcomed).
I have the following error:
Error in t.star[r, ] <- res[[r]] :
incorrect number of subscripts on matrix
Here's a reproductible example:
library(betareg)
library(boot)
fake_data <- data.frame(diet = as.factor(c(rep("A",10),rep("B",10))),
fat = c(runif(10,.1,.5),runif(10,.4,.9)) )
plot(fat~diet, data = fake_data)
my_beta_reg <- function(data,i){
data_i <- data[i,]
mod <- betareg(data_i[,"fat"] ~ data_i[,"diet"])
return(mod$coef)
}
b = boot(fake_data, statistic = my_beta_reg, R= 50)
Error in t.star[r, ] <- res[[r]] :
incorrect number of subscripts on matrix
What's the issue?
Thanks in advance.
The issue is that mod$coef
is a list:
betareg(fat ~ diet, data = fake_data)$coef
#$mean
#(Intercept) dietB
# -1.275793 2.490126
#
#$precision
# (phi)
#20.59014
You need to unlist
it or preferably use the function you are supposed to use for extraction of coefficients:
my_beta_reg <- function(data,i){
mod <- betareg(fat ~ diet, data = data[i,])
#unlist(mod$coef)
coef(mod)
}
b = boot(fake_data, statistic = my_beta_reg, R= 50)
print(b)
#ORDINARY NONPARAMETRIC BOOTSTRAP
#
#
#Call:
#boot(data = fake_data, statistic = my_beta_reg, R = 50)
#
#
#Bootstrap Statistics :
# original bias std. error
#t1* -1.275793 -0.019847377 0.2003523
#t2* 2.490126 0.009008892 0.2314521
#t3* 20.590142 8.265394485 17.2271497
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