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Hi, I want to generate random samples from truncated normal say Normal(0,1)Indicator((0,1),(2,4)). It has more than one intervals. In the library msm, it seems to me that the 'lower' and 'upper' arguments can only be a number. I tried rtnorm(1,mean=0,sd=1, lower=c(0,2),upper=c(1,4)) and it didn't work. Can you tell me how I can do truncated normal at more than one intervals?

Suppose i want to compute a 95% highest density for a beta distribution beta(a,b) the two end points x1 and x2 shoudl satisfy the following two equations: pbeta(x1,a,b)-pbeta(x2,a,b)=95% dbeta(x1,a,b)=dbeta(x2,a,b) Is there any fast way to compute x1 and x2 in R? [[alternative HTML version deleted]]

...lotmath.o print.o printarray.o printvector.o printutils.o random.o RNG.o regex.o relop.o saveload.o scan.o seq.o sort.o source.o split.o subassign.o subscript.o subset.o summary.o unique.o util.o version.o xxxpr.o ../unix/libunix.a ../appl/libappl.a ../nmath/libmath.a -lSM -lICE -lX11 -lblas -LNO:plower=off -LANG:=f77 -L/usr/lib64/mips4 -L/usr/lib64 -lftn -lm -ltermcap -lm ld64: WARNING 84: /usr/lib64/libSM.so is not used for resolving any symbol. ld64: WARNING 85: definition of main in ../unix/libunix.a(system.o) preempts that definition in /usr/lib64/mips4/libftn.so. ld64: WARNING 84: /usr/lib...