class.numer {MiscPsycho}R Documentation

~~function to do ... ~~

Description

~~ A concise (1-5 lines) description of what the function does. ~~

Usage

class.numer(x, b, prof_cut, mu = 0, sigma = 1, aboveQ)

Arguments

x ~~Describe x here~~
b ~~Describe b here~~
prof_cut ~~Describe prof_cut here~~
mu ~~Describe mu here~~
sigma ~~Describe sigma here~~
aboveQ ~~Describe aboveQ here~~

Details

~~ If necessary, more details than the description above ~~

Value

~Describe the value returned If it is a LIST, use

comp1 Description of 'comp1'
comp2 Description of 'comp2'

...

Warning

....

Note

~~further notes~~

~Make other sections like Warning with section{Warning }{....} ~

Author(s)

~~who you are~~

References

~put references to the literature/web site here ~

See Also

~~objects to See Also as help, ~~~

Examples

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--    or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function(x,b, prof_cut, mu=0, sigma=1, aboveQ){
   gauss_numer <- gauss.quad(49,kind="laguerre")
   if(aboveQ==FALSE){   
      mat <- rbind(like.mat(x,b, (prof_cut-gauss_numer$nodes)), dnorm(prof_cut-gauss_numer$nodes, mean=mu, sd=sigma))
      } else { mat <- rbind(like.mat(x,b, (gauss_numer$nodes+prof_cut)), dnorm(gauss_numer$nodes+prof_cut, mean=mu,                 sd=sigma))
   }   
   f_y <- rbind(apply(mat, 2, prod), exp(gauss_numer$nodes), gauss_numer$weights)
   sum(apply(f_y,2,prod))
   }

[Package MiscPsycho version 1.0 Index]