search for: 95ci

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2011 Jul 07
1
Confidence bands in ggplot2
..." "368" "225" "301" "105" "353" "291" "179" "134" "135" "324" "360" "BB" >From this data I have created 95% confidence intervals assuming a normal distribution. lower.95ci <- est - se*qnorm(.975) upper.95ci <- est + se*qnorm(.975) What I'd like to do is plot the estimate (est) and have lines attach to the points located in lower.95ci and upper.95ci. Presently I am doing the following: qplot(x=as.factor(sch),y=lower.95ci) + geom_point(aes(x=as.factor(sc...
2003 Aug 30
3
fisher.test() gives wrong confidence interval (PR#4019)
...h as in the following example. Given the fact that both upper bounds of the two 95% confidence intervals are Inf, I would have expected that the two lower bounds be equal, but they aren't. x <- matrix(c(9,4,0,2),2,2) x # [,1] [,2] #[1,] 9 0 #[2,] 4 2 rbind("two.sided.95CI"=fisher.test(x)$conf.int, "greater.95CI"=fisher.test(x,alt="greater")$conf.int) # [,1] [,2] #two.sided.95CI 0.2985103 Inf #greater.95CI 0.4625314 Inf Using the noncentral hypergeometric distribution, we can calculate the probability mass of each pos...
2012 Feb 20
0
repeating or looping within an apply statement to handle multiple variables
...7 variable2 ? ? 13 13 variable2 ? ? 56 56 variable2 ? ? 78 78 variable2 ? ? 109 109 variable2 ? ? 145 145 variable2 ? ? 173 173 variable2 ? ? 212 212 variable2 ? ? 3 3 variable3 ? ? etc... > exp2 variable difference gel mean sd n se X95ci mean.sd 0 variable1 d5.1 0 1.0 5.567764 7 2.104417 5.149323 0.1796053 1 variable1 d5.1 1 -1.5 7.778175 2 5.500000 69.884126 -0.1928473 se.sd X95ci.sd 0 0.3779645 0.9248457 1 0.7071068 8.9846435 But, I have only been able to get the data for the first variable, despite...
2012 Jul 26
2
Error Bars ggplot2
Hello, I'm attempting to plot error bars side by side rather than stacked on top of each other with ggplot2. Here is the sample code I am using: #Code #Data spd<-c("s","f","f","s","f","s","s","s","f","f","s","f") r<-c(4.9,3.2,2.1,.2,3.8,6.4,7.5,1.7,3.4,4.1,2.2,5)
2011 Feb 23
5
mgcv: beta coefficient and 95%CI
Hi i am doing an environmental research The equation is as follow: gam(y1 ~ x1 + s(x2) + s(x3) + s(x4), family = gaussian, fit = true) I would like to obtain the beta coefficient and 95CI of x4 (or s(x4)), what should I do? Thanks, Lung -- View this message in context: http://r.789695.n4.nabble.com/mgcv-beta-coefficient-and-95-CI-tp3320491p3320491.html Sent from the R help mailing list archive at Nabble.com.