webuse productivity, clear
tempname foo
postfile `foo' str100 commandline_str str100 description_str icc icclb iccub N N_groups using "C:\Windows\Temp\test.dta", replace
qui mixed gsp || region: if year <= 1973
qui estat icc
matrix groups = e(N_g)
scalar n_g = groups[1,1]
matrix cis = r(ci2)
scalar icclb = cis[1,1]
scalar iccub = cis[1,2]
local desc "ICC 1970 to 1973"
post `foo' (e(cmdline)) ("`desc'") (r(icc2)) (icclb) (iccub) (e(N)) (n_g)
qui mixed gsp || region: if year >= 1974 | year <= 1977
qui estat icc
matrix groups = e(N_g)
scalar n_g = groups[1,1]
matrix cis = r(ci2)
scalar icclb = cis[1,1]
scalar iccub = cis[1,2]
local desc "ICC 1974 to 1977"
post `foo' (e(cmdline)) ("`desc'") (r(icc2)) (icclb) (iccub) (e(N)) (n_g)
qui mixed gsp || region: if year >= 1978 | year <= 1981
qui estat icc
matrix groups = e(N_g)
scalar n_g = groups[1,1]
matrix cis = r(ci2)
scalar icclb = cis[1,1]
scalar iccub = cis[1,2]
local desc "ICC 1978 to 1981"
post `foo' (e(cmdline)) ("`desc'") (r(icc2)) (icclb) (iccub) (e(N)) (n_g)
qui mixed gsp || region: if year >= 1981 | year <= 1984
qui estat icc
matrix groups = e(N_g)
scalar n_g = groups[1,1]
matrix cis = r(ci2)
scalar icclb = cis[1,1]
scalar iccub = cis[1,2]
local desc "ICC 1981 to 1984"
post `foo' (e(cmdline)) ("`desc'") (r(icc2)) (icclb) (iccub) (e(N)) (n_g)
qui mixed gsp || region: if year >= 1985 | year <= 1986
qui estat icc
matrix groups = e(N_g)
scalar n_g = groups[1,1]
matrix cis = r(ci2)
scalar icclb = cis[1,1]
scalar iccub = cis[1,2]
local desc "ICC 1985 to 1986"
post `foo' (e(cmdline)) ("`desc'") (r(icc2)) (icclb) (iccub) (e(N)) (n_g)
postclose `foo'
use "C:\Windows\Temp\test.dta", clear
list
encode description_str, gen(description)
twoway (dot icc description, horizontal) ///
(rcap icclb iccub description, horizontal) ///
, ylabel(1/5, val) ytitle("") legend(off) ///
xlabel(0 (.1) 1) xtitle("ICC") name(figure, replace)
erase "C:\Windows\Temp\test.dta"
Jan 30, 2016
Random graphs (56): Intraclass Correlation Coefficients with confidence intervals
Labels:
estat icc,
ICC,
local,
matrix,
mixed,
Multilevel modeling,
postfile,
Random graphs,
scalar,
twoway dot,
twoway rcap,
xtmixed postestimation
