Many thanks David,
But I am not sure the Dataset and newdata are the real problem. I have solved,
at least I think so, what you were asking. Here below my new R code but still
the same error message. IMHO the problem is with "boot.ci" function...
# # # # # # # # # # # # # # # # # # # ## # # # # # # # # # # # # # #
bmi=c(23,43,21,23,45,65,45,11,12,13,23,34,NA,NA,34,35,45,65,43,23,12,11,15,43,23,88,78,79,89,89,99,43,21,34,32,45,65,76,56,45,34,23,12,32)
glucose=c(NA,12,23,11,12,21,23,21,23,43,23,12,NA,23,11,12,32,12,14,12,11,10,9,8,9,8,7,90,76,32,12,11,12,23,11,123,32,12,14,34,54,65,76,87)
crp=c(123,212,154,342,123,111,121,765,453,123,213,211,NA,NA,32,123,213,145,143,123,132,143,165,176,181,123,87,567,342,123,143,132,143,234,345,32,123,132,143,345,321,543,231,123)
age=c(67,45,34,56,87,NA,NA,23,18,65,45,87,65,33,23,65,43,23,43,12,132,56,76,87,98,78,76,56,78,54,34,56,76,99,12,45,34,65,76,87,98,97,64,53)
sex=c(0,1,1,0,1,0,1,0,0,1,1,1,NA,NA,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,1,1,0,0)
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) {
??? d <- data[indices, ] # allows boot to select sample
??? fastMM <- lmrob( crp ~ bmi+glucose+age+sex,data=newdata)
??? fit <- lmrob(formula, data = d, method="MM")
??? ypred <- predict(fit)
?? mean((d[["fastMM"]]-ypred)^2)
?}
?# bootstrapping with 100 replications
?results <- boot(data = newdata, statistic = MSE,
????????????????? R = 100, formula = crp ~
bmi+glucose+age+sex,method="MM")
str(results)
boot.ci(results, type="norm" )
str(Dataset)
str(newdata)
summary(results$t)
# # # # # # # # # # # # # # # # # # # # # # # # #
Le lundi 30 mars 2020 ? 00:40:33 UTC+2, David Winsemius <dwinsemius at
comcast.net> a ?crit :
On 3/28/20 12:25 PM, varin sacha via R-help wrote:> Dear R-experts,
>
> Here below my "toy" reproducible example showing many warnings
and an error message. What I am interested in is the error message.
> Of course I can access and view the results doing : summary(results$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 Do not quote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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