Hi Duncan, Hi David,
Many thanks, ok for the first error but David when you say "The second
error is the misspelling . Remove the space". Where do I have to remove the
space ?
Best,
Sacha
Le samedi 21 mars 2020 ? 18:14:30 UTC+1, David Winsemius <dwinsemius at
comcast.net> a ?crit :
On 3/21/20 9:35 AM, varin sacha via R-help wrote:> Dear R-experts,
>
> Here below my R code giving an error message that I don't understand.
If somebody can help me to fix it, it would be highly appreciated.
>
> # # # # # # # # # # # # # # # # # # # # # # # #
> install.packages( "robustbase",dependencies=TRUE )
> install.packages( "boot",dependencies=TRUE )
> library(boot)
> library(robustbase)
>
> n<-500
> b<-runif(n, 0, 5)
> z <- rnorm(n, 2, 3)
> a <- runif(n, 0, 5)
> df<-data.frame(b,z,a)
>
> y_model<- 0.1*b - 0.5 * z - a + 10
> y_obs <- y_model +c( rnorm(n*0.9, 0, 0.1), rnorm(n*0.1, 0, 0.5) )
Two errors: First, you need to have the y_obs vector in the df dataframe
if you later reference it as a column.>
>? ?# function to obtain MSE
>? ?MSE <- function(data, indices, formula) {
>? ? ? d <- data[indices, ] # allows boot to select sample
>? ? ? fit <- lmrob(formula, data = d)
>? ? ? ypred <- predict(fit)
>? ? ? mean((d[["y_obs "]] - ypred)^2)
The second error is the misspelling . Remove the space>? ?}
>
>? ?# Make the results reproducible
>? ?set.seed(1234)
>?
>? ?# bootstrapping with 500 replications
>? ?results <- boot(data = df, statistic = MSE,
>? ? ??????????????? R = 500, formula = y_obs ~ b+z+a)
>
> boot.ci(results, type="bca")
Now get:
> boot.ci(results, type="bca")
BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
Based on 500 bootstrap replicates
CALL :
boot.ci(boot.out = results, type = "bca")
Intervals :
Level?????? BCa
95%?? ( 0.0237,? 0.0460 )
Calculations and Intervals on Original Scale
Some BCa intervals may be unstable
--
David.
> # # # # # # # # # # # # # # # # # # # # # # # # #
>
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