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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______________________________________________
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and provide commented, minimal, self-contained, reproducible code.

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