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#' @name gboot_CI
#' @aliases gboot_CI
#'
#' @import ggplot2
#' @import dplyr
#' @importFrom stats quantile
#' @importFrom utils capture.output
#'
#' @title Bootstrap Confidence Interval
#'
#' @description Provides a two-sided bootstrap confidence interval.
#' @usage gboot_CI(x,alpha=0.05,digits=3)
#'
#' @author Diogo Francisco Rossoni \email{dfrossoni@uem.br}
#' @author Vinicius Basseto Felix \email{felix_prot@hotmail.com}
#'
#' @param x object generate by functions \code{\link[geotoolsR]{gboot_block}},
#' \code{\link[geotoolsR]{gboot_cloud}}, \code{\link[geotoolsR]{gboot_cross}},
#' \code{\link[geotoolsR]{gboot_solow}}, \code{\link[geotoolsR]{gboot_variogram}}
#' @param alpha significance level (Default=0.05).
#' @param digits number of decimal places.
#'
#' @details Examples of this function can be found in \code{\link[geotoolsR]{gboot_block}},
#' \code{\link[geotoolsR]{gboot_cloud}}, \code{\link[geotoolsR]{gboot_cross}},
#' \code{\link[geotoolsR]{gboot_solow}}, \code{\link[geotoolsR]{gboot_variogram}}
#'
#' @return Invalid arguments will return an error message.
#' @keywords Bootstrap CI
#' @export
gboot_CI<-function(x,alpha=0.05,digits=3){
Parameter=Value=Bound=NULL
#Auxiliary functions
quiet<-function(x){
invisible(capture.output(x))}
#Confidence interval
CI_pars<-data.frame(Parameter=c("Nugget","Sill","Contribution",
"Range","Practical Range"),
Lower=numeric(5),
Estimate=c(x[[4]][1,1],x[[4]][1,2],
x[[4]][1,3],x[[4]][1,4],x[[4]][1,5]),
Upper=numeric(5))
CI_pars[,2]<-apply(x[[3]],2,function(x)round(quantile(x,alpha/2),digits))
CI_pars[,4]<-apply(x[[3]],2,function(x)round(quantile(x,1-alpha/2),digits))
CI_pars[,3]<-round(CI_pars[,3],digits)
message("Parameters confidence interval (",
100*(1-alpha),"%): \n",sep="")
CI_pars
#Plot
CI<-gather(x[[3]],Parameter,Value)%>%
mutate(Parameter=factor(Parameter,
c("Nugget",
"Sill",
"Contribution",
"Range",
"Practical Range"))) %>%
group_by(Parameter)%>%
summarise(Lower=quantile(Value,probs = alpha/2),
Upper=quantile(Value,probs = 1-alpha/2))%>%
gather(Bound,Value,-Parameter)
quiet(p1<-gather(x[[3]],Parameter,Value) %>%
mutate(Parameter=factor(Parameter,
c("Nugget",
"Sill",
"Contribution",
"Range",
"Practical Range"))) %>%
ggplot(aes(Value))+
geom_histogram(col="black",bins=30)+
theme_minimal()+
geom_vline(data=CI,aes(xintercept = Value),
linetype="dashed",col="red")+
facet_wrap(~Parameter,scales = "free",ncol=3)+
labs(x="Value",y="Frequency"))
#Output
quiet(print(p1))
return(CI_pars)
}
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