search for: qq1

I want to write a function that get 2 strings y and z and does the following R command. temp<-qq1[qq1$z==y,] for example if it get y="AMI" and z="PrimaryConditionGroup" It should do the following temp<-qq1[qq1$PrimaryConditionGroup=="AMI",] I could do it by the following function that is ugly and I wonder if there is an easier way to do it espacielly when temp...

I have a matrix of claims at year1 that I get simply by claims<-read.csv(file="Claims.csv") qq1<-claims[claims$Year=="Y1",] I have MemberID and ProviderID for every claim in qq1 both are integers An example for the type of questions that I want to answer is how many times ProviderID number 345 appears together with MemberID 23 in the table qq1 In order to answer these questio...

Dear R help, I tried to plot two qq plots in the same window using the code below.? Somehow it is plotting only one at a time.?? I borrowed the print function from xyplot. ? pdf("QQplotCorrUncorr.pdf") qq1<-qqPlot(residuals(fm), main="QQ plot for Correlated Model") qq2 <-qqPlot(residuals(fma), main="QQ plot for Uncorrelated Model") print(qq1, pos = c(0.0, 0.0, 0.5, 0.5), more = TRUE) print(qq2, pos = c(0.5, 0.5, 1, 1), more = FALSE ) ??? ?dev.off() Help will be appreciat...

Dear R users, Would need some help. I will compare some results in a dotplot. The picture is very dark(grey) in the background, could I get it ligther? R-code dotplot(LINES~VAL, groups=QQ,key=simpleKey(levels(QQ1),space="top"),xlab="Values",main="Tail-Measure" ) (where LINES,VAL, QQ is vectors) ------------------------------------------------------------------------------ This e-mail and any attachment may be confidential and may also be privileged. If you are not the inte...

...of therotical plus practical question, represented by R. I came with this question when I built model for some stock returns. That's the reason I cannot post the complete data here. But I would like to attach some plots here (I zipped them since the original ones are too big). The first plot qq1, is qqnorm plot of my sample, giving me some "S"-shape. Since I am not very experienced, I am not sure what kind of distribution my sample follows. The second plot, qq2, is obtained via qqnorm(rt(10000, 4)) since I run fitdistr(kk, 't') and got m s...

...if (I==1 & J==K) # m.L is row vec, hence sweep columns {return( (matrix(mapply(op,t(m.L),m.R),nrow=nrow(m.R),ncol=ncol(m.R))));}else if (J==K & L==1) # m.R is col vec, hence sweep rows { return(t(matrix(qq1<-mapply(op,t(m.L),m.R),nrow=ncol(m.L),ncol=nrow(m.L))));}else print(c(" conformity failure with I,J,K,L= ",paste(I,J,K,L)));return(NA) } #a further step is to implement the various binary operators using the %text% convention. # some constructio...

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