Re: [R] Error message using boot.ci function

[David Winsemius]

On 3/28/20 12:25 PM, varin sacha via R-help wrote:
Dear R-experts,

Here below my "toy" reproducible example showing many warnings and an error 
message. What I am interested in is the error message.
Of course I can access and view the results doing : summary(results$t) to give 
me an idea of what is going on. But I don't know how to correct/solve my 
problem. Any help to solve my problem would be highly appreciated.


I do suggest you look at:


str(Dataset)

str(newdata)


The problem is actually in your construction of Dataset. Do not quote 
object names next time.

--

David


# # # # # # # # # # # # # # # # # # # ## # # # # # # # # # # # # # #
bmi=c(23,43,21,23,45,65,45,11,12,13,23,34,NA,NA)
glucose=c(NA,12,23,11,12,21,23,21,23,43,23,12,NA,23)
crp=c(123,212,154,342,123,111,121,765,453,123,213,211,NA,NA)
age=c(67,45,34,56,87,NA,NA,23,18,65,45,87,65,33)
sex=c(0,1,1,0,1,0,1,0,0,1,1,1,NA,NA)

Dataset=data.frame("bmi","glucose","crp","age","sex")
newdata=na.omit(Dataset)

#install.packages( "robustbase",dependencies=TRUE )
#install.packages( "boot",dependencies=TRUE )
library(boot)
library(robustbase)

  # function to obtain MSE
  MSE <- function(data, indices, formula,method) {
fastMM <- lmrob( crp ~ bmi+glucose+age+sex, data=newdata)
     d <- data[indices, ] # allows boot to select sample
     fit <- lmrob(formula, data = d, method="MM")
     ypred <- predict(fit)
    mean((d[["fastMM"]]-ypred)^2)
  }

  # bootstrapping with 1000 replications
  results <- boot(data = newdata, statistic = MSE,
                   R = 1000, formula = crp ~ bmi+glucose+age+sex,method="MM")

str(results)
boot.ci(results, type="norm" )

summary(results$t)
# # # # # # # # # # # # # # # # # # # # # # # # #

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______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.