search for: calibration2

...9;Commodity' but would like have different symbols to refelect a second variable called 'Year' (say square, triangle and circle for different years). My code so far is as follows: ## initalise library("lattice") ##read the data to a variable Cal_dat <- read.table("Calibration2.dat",header = TRUE,sep = "\t",) ## set up plotting colours for the fills col.pat<-c("violet","cyan","green","red","blue","black","yellow") ##set up the plot key to be inside the plot plot.key<-list( corn...

...ut not sure how the syntax works in this case ###### initalise library("lattice") library(latticeExtra) # for mergedTrellisLegendGrob() ##read the data to a variable #---------------------------------------------------------------------------------------- Cal_dat <- read.table("Calibration2.dat",header = TRUE,sep = "\t",) ## set up plotting colours #---------------------------------------------------------------------------------------- col.pat<-c("violet","cyan","green","red","blue","black","yellow&qu...

...or any pointers MarkM (current code below and data attached) library("lattice") library(latticeExtra) # for mergedTrellisLegendGrob() ##read the data to a variable #---------------------------------------------------------------------------------------- Cal_dat <- read.table("Calibration2.dat",header = TRUE,sep = "\t",) ## set up plotting colours #---------------------------------------------------------------------------------------- # Colours for the six commodity col.pat<-c("violet","cyan","green","red","blue",...

...ranked dotplot and am colour coding the dots by a variable called "Commodity". However when i use autokey to make a legend the size (cex) and symbol (pch) do not match what is on the dotplot. Code is below and image attached library("lattice") Cal_dat <- read.table("Calibration2.dat",header = TRUE,sep = "\t",) dotplot(reorder(Label.yr, Resc_Gt)~ Resc_Gt,groups=Commodity, data=Cal_dat,cex=1.5, pch=19,aspect="xy", auto.key=list(space="right",title="Commodity")) Any assistance appreciated http://r.789695.n4.nabble.com/file/n375...

...(Data file is attached) (out of interst this code also has a very neat solution for plotting two different keys - code by Deepayan Sarkar) ## initalise library("lattice") library(latticeExtra) # for mergedTrellisLegendGrob() ##read the data to a variable Cal_dat <- read.table("Calibration2.dat",header = TRUE,sep = "\t",) ## set up plotting colours col.pat<-c("violet","cyan","green","red","blue","black","yellow") sym.pat<-c(19,20,21) #list(levels(Cal_dat$Year) ##set up the plot keys key1 <...

...ce") library(latticeExtra) # for mergedTrellisLegendGrob() # set size of the window windows(height=10, width=7,rescale=c("fixed")) ##read the data to a variable #---------------------------------------------------------------------------------------- Cal_dat <- read.table("Calibration2.dat",header = TRUE,sep = "\t",) ## set up plotting colours #---------------------------------------------------------------------------------------- # Colours for the six commodity col.pat<-c("violet","cyan","green","red","blue",...

Hi I have measured the UV absorbance (abs) of 10 solutions of a substance at known concentrations (conc) and have used a linear model to plot a calibration graph with confidence limits. I now want to predict the concentration of solutions with UV absorbance results given in the new.abs data.frame, however predict.lm only appears to work for new "conc" variables not new "abs"