sciplot question
Jarle Bj?rgeengen wrote:
On May 24, 2009, at 3:34 , Frank E Harrell Jr wrote:
Jarle Bj?rgeengen wrote:
Great, thanks Manuel. Just for curiosity, any particular reason you chose standard error , and not confidence interval as the default (the naming of the plotting functions associates closer to the confidence interval .... ) error indication . - Jarle Bj?rgeengen On May 24, 2009, at 3:02 , Manuel Morales wrote:
You define your own function for the confidence intervals. The function needs to return the two values representing the upper and lower CI values. So: qt.fun <- function(x) qt(p=.975,df=length(x)-1)*sd(x)/sqrt(length(x)) my.ci <- function(x) c(mean(x)-qt.fun(x), mean(x)+qt.fun(x))
Minor improvement: mean(x) + qt.fun(x)*c(-1,1) but in general confidence limits should be asymmetric (a la bootstrap).
Thanks, if the date is normally distributed , symmetric confidence interval should be ok , right ?
Yes; I do see a normal distribution about once every 10 years.
When plotting the individual sample , it looks normally distributed.
An appropriate qqnorm plot is a better way to check, but often the data cannot tell you about the normality of themselves. It's usually better to use methods (e.g., bootstrap) that do not assume normality and that provide skewed confidence intervals if the data are skewed. Frank
Best regards. Jarle Bj?rgeengen
Frank E Harrell Jr Professor and Chair School of Medicine
Department of Biostatistics Vanderbilt University