Nothing
################################################################################
##
## mcrCompareFit.r
##
## Grafical comparison of estimates of two or more regression fits.
##
## Copyright (C) 2011 Roche Diagnostics GmbH
##
## This program is free software: you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation, either version 3 of the License, or
## any later version.
##
## This program is distributed in the hope that it will be useful,
## but WITHOUT ANY WARRANTY; without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
## GNU General Public License for more details.
##
## You should have received a copy of the GNU General Public License
## along with this program. If not, see <http://www.gnu.org/licenses/>.
##
################################################################################
#' Graphical Comparison of Regression Parameters and Associated Confidence Intervals
#'
#' Graphical comparison of regression parameters (intercept and slope) and their associated
#' 100(1-alpha)\% confidence intervals for multiple fitted models of 'MCResult' sub-classes.
#'
#' @param ... list of fitted models, i.e. objects of "MCResult" sub-classes.
#'
#' @return No return value, instead a plot is generated
#'
#' @examples
#' library("mcr")
#' data("creatinine", package="mcr")
#' fit.lr <- mcreg(as.matrix(creatinine), method.reg="LinReg", na.rm=TRUE)
#' fit.wlr <- mcreg(as.matrix(creatinine), method.reg="WLinReg", na.rm=TRUE)
#' compareFit( fit.lr, fit.wlr )
compareFit <- function( ... )
{
models <- list(...)
for(i in seq_along(models))
stopifnot(class(models[[i]])[1] %in% c("MCResultAnalytical", "MCResultJackknife", "MCResultResampling", "MCResultBCa"))
nm <- length(models)
# For each model collect informations about slope, intercept
slopes <- matrix(nrow=length(models),ncol=3)
colnames(slopes)<-c("EST","LCI","UCI")
intercepts<- matrix(nrow=length(models),ncol=3)
colnames(intercepts)<-c("EST","LCI","UCI")
# For each model collect informations about regression type and inference type
axis.lab <- c()
for(i in seq_along(models))
{
slopes[i,]<-getCoefficients(models[[i]])["Slope",c("EST","LCI","UCI")]
intercepts[i,]<-getCoefficients(models[[i]])["Intercept",c("EST","LCI","UCI")]
if(models[[i]]@regmeth %in% c("Deming","WDeming"))
{
if (class(models[[i]])[1]!="MCResultResampling")
axis.lab[i] <- paste(models[[i]]@regmeth," fit \n",models[[i]]@cimeth," CI\nlambda=",models[[i]]@error.ratio,sep="")
else
axis.lab[i] <- paste( models[[i]]@regmeth," fit\n",models[[i]]@cimeth,"(",models[[i]]@bootcimeth,") CI\nlambda=",
models[[i]]@error.ratio,sep="")
}
else if(class(models[[i]])[1]!="MCResultResampling")
axis.lab[i] <- paste(models[[i]]@regmeth," fit\n",models[[i]]@cimeth," CI",sep="")
else
axis.lab[i] <- paste(models[[i]]@regmeth," fit\n",models[[i]]@cimeth,"(",models[[i]]@bootcimeth,") CI",sep="")
}# end of loop
YLIM <- c(0.6,nm+0.3) # limits for grafic
old.par <- par(c("mfrow", "oma", "mar"))
on.exit(par(old.par))
par(mfrow=c(1,3),oma=c(2,2,2,2))
par(mar=c(4, 0, 3, -0.1) + 0.1)
plot(c(0,1),c(0,1),ylim=YLIM, xlab="",ylab="", col="white",yaxt="n",xaxt="n",bty="n",main="")
mtext(side=2, line=0,at=(1:nm),axis.lab,adj=0,cex=0.8,las=1)
par(mar=c(4, -0.1, 3, 2) + 0.1)
delta <- as.numeric(colMeans(intercepts)[3]-colMeans(intercepts)[2])
XLIM<-range(intercepts)+c(-1/2,1/2)*delta
plot(0,0,xlim=XLIM,ylim=YLIM, xlab="",ylab="", col="white",yaxt="n",bty="n",main="Intercept",cex.axis=1)
abline(h=1:nm, col="lightgrey",lty=2)
points(intercepts[,"EST"],1:nm,pch=16)
for(s in 1:nm)
arrows(intercepts[s, "LCI"],s,intercepts[s, "UCI"],s,angle=90,code=3,length=0.06)
abline(v=0, col="red", lty=2)
par(mar=c(4, 2, 3, 2) + 0.1)
delta <- as.numeric(colMeans(slopes)[3]-colMeans(slopes)[2])
XLIM <- range(slopes)+c(-1/2,1/2)*delta
plot(0,0,xlim=XLIM,ylim=YLIM, xlab="",ylab="", col="white",yaxt="n",bty="n", main="Slope",cex.axis=1)
abline(h=1:nm, col="lightgrey",lty=2)
points(slopes[,"EST"],1:nm,pch=16)
for (s in 1:nm) arrows(slopes[s, "LCI"],s,slopes[s, "UCI"],s,angle=90,code=3,length=0.06) # code=2 - zweiseitig
abline(v=1, col="red", lty=2)
} #end of function
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.