search for: lowerci

Displaying 6 results from an estimated 6 matches for "lowerci".

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2009 Jan 15
1
Confidence Intervals for Poisson
Hi folks! I run the following code to get a CI for a Poisson with lambda=12.73 library(MASS) set.seed(125) x <- rpois(100,12.73) lambda_hat<-fitdistr(x, dpois, list(lambda=12))$estimate #Confidence Intervals - Normal Approx. alpha<-c(.05,.025,.01) for(n in 1:length(alpha)) { LowerCI<-mean(x)-(qnorm(1-alpha[n]/2, mean = 0, sd = 1)*sqrt(var(x)/length(x))) UpperCI<-mean(x)+(qnorm(1-alpha[n]/2, mean = 0, sd = 1)*sqrt(var(x)/length(x))) cat("For Alpha=",alpha[n],"LowerCI=",LowerCI,"<","Lambda=",mean(x),"<","UpperC...
2010 Jan 03
3
R2HTML Report number format, or Better Way?
...to produce a report and here's where I get stuck: How do I get R2HTML to produce the same number format? Particularly remove the decimal places for Par and Sal. Are there better methods to produce this type of report? Thanks, L.A. R version 2.10.0 XP srtype<-cbind(Par,Sal,Median,COD,PRD,LowerCI,UpperCI) srtype Par Sal Median COD PRD LowerCI UpperCI RES I 9683 578 0.9533 29.69 1.191 0.9382 0.9582 RES V 4003 155 0.9763 16.51 1.091 0.9499 0.9943 OTHER 1542 10 0.8367 82.35 1.253 0.4759 2.2293 COM I...
2000 Jul 05
2
couldn't find function "..."
...I created my function named "CIfunc" and saved into the current directory using the "save" command. function(Mean, SD, N, Sig) { if (N > 30) { Zscore <- pnorm(Sig)} else {Zscore <- pt(Sig,N-1)} Zscore UpperCI <- Mean + Zscore * SD / sqrt(N) UpperCI LowerCI <- Mean - Zscore * SD / sqrt(N) LowerCI } ...with no error. Next I write the function call "testcall": testcall <- call('CIfunc', prescan10$F532Mean, prescan10$F532SD, prescan10$FPixels, 0.95) ...with no error. testcall CIfunc(c(189, 238, 363, 869, 585, 350, 3624, 2...
2000 Jul 06
0
Fwd: Re: couldn't find function ...
...save" command. > > > > function(Mean, SD, N, Sig) { > > > > if (N > 30) { Zscore <- pnorm(Sig)} else {Zscore <- pt(Sig,N-1)} > > Zscore > > > > UpperCI <- Mean + Zscore * SD / sqrt(N) > > UpperCI > > > > LowerCI <- Mean - Zscore * SD / sqrt(N) > > LowerCI > > > > } > > > > ...with no error. > > > > Next I write the function call "testcall": > > > > testcall <- call('CIfunc', prescan10$F532Mean, prescan10$F532SD, > >...
2009 Jul 16
0
how to get means and confidence limits after glmmPQL or lmer
...imating the CIs. variance<-mm$sigma #IS THIS THE RIGHT VARIANCE? speciessize<- tapply(species, burnagecat1 ,length) speciesmeans<- (tapply(predict(mm, type="response"), burnagecat1 ,mean)) upperci<- exp(log(speciesmeans) + qt(0.95,residdf)*sqrt(variance/speciessize)) lowerci<- exp(log(speciesmeans)- qt(0.95,residdf)*sqrt(variance/speciessize)) result<-cbind(lowerci, speciesmeans, upperci) result I also explored lmer, but haven't found a way to extract means and CIs on the original scale for the levels of treatment. library(lme4) dlm<-lmer(response~ tr...
2002 Apr 22
2
lattice x(y)lab and expression
Another question about lattice: Is there a way to use plotmath in the labels and strips? E.g. xyplot(y~x|group,data=test.df, panel=function(x,y,subscripts,df) { llines(x,y,col="black",lwd=2) llines(x,df[subscripts,"lowerCI"],lty=2,col="#aaaaaa") llines(x,df[subscripts,"upperCI"],lty=2,col="#aaaaaa") }, strip=function(...) { # not sure what to put here # but I would like something like # substitute(gamma[r]==2*pi*r,list(r=group))...