*! version 1.6.6 8/20/03 -- jf fix of bug where observed probabilities improperly computed for plot option *! version 1.6.5 1/10/01 capture program drop prcounts program define prcounts version 6.0 tempname b alpha ai gai mu syntax newvarname [if] [in] [, Max(integer 9) Plot] if `max' > 99 | `max' < 0 { di in r "max() must be in range from 0 to 99" exit 198 } local stem "`varlist'" local stem = substr("`stem'", 1, 28) cap version 7 if _rc!=0 { local stem = substr("`stem'", 1, 4) } version 6.0 local modelis "from `e(cmd)'" *-> GENERATE PREDICTED RATE quietly predict `stem'rate `if' `in', n label variable `stem'rate "Predicted rate `modelis'" gen `mu' = `stem'rate *-> GENERATE PREDICTED FREQUENCY OF ALWAYS ZERO if "`e(cmd)'"=="zip" | "`e(cmd)'"=="zinb" { quietly predict `stem'all0 `if' `in', p label variable `stem'all0 "Pr(always 0) `modelis'" * predict n, n computes: exp(x*beta)*(1-all0). * The last term needs to be removed. quietly replace `mu' = `mu'/(1-`stem'all0) `if' `in' } *-> TAKE CARE OF ALPHA if "`e(cmd)'"=="nbreg" { sca `alpha' = e(alpha) } if "`e(cmd)'"=="zinb" { mat `b' = e(b) local temp = colsof(`b') sca `alpha' = `b'[1, `temp'] sca `alpha' = exp(`alpha') } if "`e(cmd)'"=="nbreg" | "`e(cmd)'"=="zinb" { sca `ai' = 1/`alpha' sca `gai' = exp(lngamma(`ai')) if `gai'==. { di in r "problem with alpha prevents" /* */ " estimation of predicted probabilities." exit 198 } } *-> GENERATE PREDICTED PROBABILITIES local i 0 while `i' <= `max' { local newvar "`stem'pr`i'" if "`e(cmd)'"=="poisson" { quietly gen `newvar' = /* */ ((exp(-`mu'))*(`mu'^`i'))/(round(exp(lnfact(`i'))), 1) /* */ `if' `in' } if "`e(cmd)'"=="nbreg" { quietly gen `newvar' = /* */ (exp(lngamma(`i'+`ai')) / /* */ (round(exp(lnfact(`i')),1) * exp(lngamma(`ai')))) /* */ * ((`ai'/(`ai'+`mu'))^`ai') * ((`mu'/(`ai'+`mu'))^`i') /* */ `if' `in' } if "`e(cmd)'"=="zip" { quietly gen `newvar' = (1-`stem'all0)*((exp(-`mu')) /* */ * (`mu'^`i'))/(round(exp(lnfact(`i'))), 1) `if' `in' if `i'==0 { quietly replace `newvar' = `newvar' + `stem'all0 `if' `in' } } if "`e(cmd)'"=="zinb" { quietly gen `newvar' = (1-`stem'all0)*(exp(lngamma(`i'+`ai')) /* */ / ( round(exp(lnfact(`i')),1) * exp(lngamma(`ai')) ) ) /* */ * ((`ai'/(`ai'+`mu'))^`ai') * ((`mu'/(`ai'+`mu'))^`i') /* */ `if' `in' if `i'==0 { quietly replace `newvar' = `newvar' + `stem'all0 `if' `in' } } label variable `newvar' "Pr(y=`i') `modelis'" local i = `i' + 1 } *-> GENERATE cuMULATIVE PROBABILITIES quietly gen `stem'cu0=`stem'pr0 label variable `stem'cu0 "Pr(y=0) `modelis'" local i 1 while `i' <= `max' { quietly egen `stem'cu`i' = rsum(`stem'pr0-`stem'pr`i') if `mu'~=. label variable `stem'cu`i' "Pr(y<=`i') `modelis'" local i = `i' + 1 } *-> GENERATE GREATER THAN VARIABLE quietly gen `stem'prgt = 1-`stem'cu`max' if `mu'~=. label variable `stem'prgt "Pr(y>`max') `modelis'" *-> IF PLOT OPTION SPECIFIED if "`plot'"=="plot" { quietly gen `stem'val = . label variable `stem'val "Count" quietly gen `stem'obeq = . label variable `stem'obeq "Observed Pr(y=k) `modelis'" quietly gen `stem'preq = . label variable `stem'preq "Predicted Pr(y=k) `modelis'" quietly gen `stem'oble = . label variable `stem'oble "Observed Pr(y<=k) `modelis'" quietly gen `stem'prle = . label variable `stem'prle "Predicted Pr(y<=k) `modelis'" ** bug fix -- makes sure observed probabilities are computed on estimation sample if "`if'" == "" { local if "if e(sample)==1" } else { local if "`if' & e(sample)==1" } local i 0 while `i' <= `max' { quietly { local obs = `i' + 1 replace `stem'val = `i' in `obs' tempvar count1 count2 gen `count1' = (`e(depvar)'==`i') `if' `in' sum `count1' `if' `in' replace `stem'obeq = r(mean) in `obs' gen `count2' = (`e(depvar)'<=`i') `if' `in' sum `count2' `if' `in' replace `stem'oble = r(mean) in `obs' sum `stem'pr`i' `if' `in' replace `stem'preq = r(mean) in `obs' sum `stem'cu`i' `if' `in' replace `stem'prle = r(mean) in `obs' } local i = `i' + 1 } } end