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panelview.ado
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/*
Sep 24 2023
Hongyu Mou, Yiqing Xu
Version 1.0.0
*/
capture program drop panelview
program define panelview
version 15.1
syntax varlist(min = 1 numeric) [if] [in] , ///
I(varname) T(varname numeric) ///
TYPE(string) ///
[ ///
continuoustreat ///
discreteoutcome ///
bytiming ///
ignoretreat ///
ignoreY ///
MYCOLor(string) ///
PREpost ///
xlabdist(integer 1) ///
ylabdist(integer 1) ///
bygroup ///
style(string) ///
byunit ///
theme(string) ///
lwd(string) ///
leavegap ///
bygroupside ///
displayall ///
bycohort ///
collapsehistory ///
* ///
]
//check if i and t uniquely identify the obs:
isid `i' `t'
//check needed packages
cap which colorpalette.ado
if _rc {
*di as error "colorpalette.ado required: {stata ssc install palettes, replace}"
di as error "colorpalette.ado required: {stata search gr0075} and click to install, and please make sure the other required packages (labutil, sencode, grc1leg) are installed"
exit 199
}
cap which labmask.ado
if _rc {
di as error "labmask.ado required: {stata ssc install labutil, replace}, and please make sure the other required packages (gr0075, sencode, grc1leg) are installed"
exit 199
}
cap which sencode.ado
if _rc {
di as error "sencode.ado required: {stata ssc install sencode, replace}, and please make sure the other required packages (labutil, gr0075, grc1leg) are installed"
exit 199
}
cap which grc1leg.ado
if _rc {
di as error "grc1leg.ado required: {stata search grc1leg} and click to install, and please make sure the other required packages (labutil, gr0075, sencode) are installed"
exit 199
}
//check for bad option combinations:
if "`continuoustreat'" != "" {
if "`bytiming'" != "" {
di as err "options continuoustreat and bytiming may not be combined"
exit 198
}
}
if "`continuoustreat'" != "" {
if "`ignoretreat'" != "" {
di as err ///
"options continuoustreat and ignoretreat may not be combined"
exit 198
}
}
if "`continuoustreat'" != "" {
if ("`type'" == "miss" | "`type'" == "missing") {
di as err ///
"options continuoustreat and type(missing) may not be combined"
exit 198
}
}
if ("`bygroup'" != "") {
if ("`prepost'" == "") {
*di as err ///
"options bygroup and prepost should be combined"
*exit 198
loc prepost 1
}
}
if ("`bygroupside'" != "") {
if ("`bygroup'" == "") {
loc bygroup 1
}
if ("`prepost'" == "") {
loc prepost 1
}
}
if ("`type'" == "outcome") {
if ("`bytiming'" != "") {
di as err ///
"options type(outcome) and bytiming may not be combined"
exit 198
}
}
if ("`type'" != "outcome") {
if ("`bygroup'" != "") {
di as err ///
"option bygroup should be combined with type(outcome)"
exit 198
}
}
if ("`type'" != "treat") {
if ("`collapsehistory'" != "") {
di as err ///
"option collapsehistory should be combined with type(treat)"
exit 198
}
}
if ("`leavegap'" != "") {
if ("`collapsehistory'" != "") {
di as err ///
"options collapsehistory and leavegap should not be combined"
exit 198
}
}
if ("`type'" != "outcome") {
if ("`bycohort'" != "") {
di as err ///
"option bycohort should be combined with option type(outcome)"
exit 198
}
}
if ("`type'" == "outcome" | "`type'" == "bivar") {
if ("`leavegap'" != "") {
di as err ///
"option leavegap should be combined with type(treat) or type(missing)"
exit 198
}
}
if ("`type'" != "treat" & "`type'" != "miss" & "`type'" != "missing") {
if ("`ignoreY'" != "") {
di as err ///
"option ignoreY should be combined with type(treat) or type(missing)"
exit 198
}
}
if ("`ignoretreat'" != "") {
if ("`ignoreY'" != "") {
di as err ///
"option ignoreY should not be combined with ignoretreat"
exit 198
}
}
if ("`ignoretreat'" != "") {
if ("`collapsehistory'" != "") {
di as err ///
"option collapsehistory should not be combined with ignoretreat"
exit 198
}
}
if ("`ignoretreat'" != "") {
if ("`type'" == "miss" | "`type'" == "missing") {
di as err ///
"option type(missing) should not be combined with ignoretreat"
exit 198
}
}
if ("`leavegap'" != "") {
if ("`prepost'" != "") {
di as err ///
"option leavegap is not recommended to be combined with prepost"
exit 198
}
}
if ("`bycohort'" != "") {
loc leavegap 1
}
set trace off
//check if "type" is specified correctly:
if ("`type'" != "miss" & "`type'" != "missing" & "`type'" != "treat" & "`type'" != "outcome" & "`type'" != "bivar" &"`type'" != "bivariate") {
di as err ///
"option type can only be one of the following: treat, outcome, bivariate (bivar), and missing (miss)"
exit 198
}
preserve
tempfile backup
qui keep `varlist' `i' `t' //only keep using variables, i.e. include covariates
qui ds `varlist'
tempvar numvar
cap gen `numvar' = `: word count `r(varlist)''
/*
if ("`ignoretreat'" != "" | "`type'" == "miss" | "`type'" == "missing") {
if `numvar' > 1 {
di "All variables other than the first is omitted"
}
}
*/
if `numvar' == 1 {
if ("`ignoretreat'" == "" & "`type'" != "miss" & "`type'" != "missing" & "`type'" != "treat" & "`type'" != "outcome") {
di as err "should combine with option ignoretreat, type(missing), type(treat) , or type(outcome) when varlist has only one variable"
exit 198
}
else if ("`type'" == "miss" | "`type'" == "missing") {
tokenize `varlist'
loc outcome `1'
loc treat `1'
}
else if ("`type'" == "treat") {
tokenize `varlist'
loc treat `1'
}
else { //"`type'" == "outcome"
tokenize `varlist'
loc outcome `1'
loc ignoretreat 1
}
}
else if `numvar' == 2 {
if ("`ignoreY'" != "") {
tokenize `varlist'
loc treat `1'
}
else {
if ("`ignoretreat'" != ""|"`type'" == "miss" | "`type'" == "missing") {
tokenize `varlist'
loc outcome `1'
loc treat `1'
*loc covariates `2'
*drop if mi(`covariates')
}
else {
tokenize `varlist'
loc outcome `1'
loc treat `2'
}
}
}
else { //`numvar' >= 3:
if ("`ignoreY'" != "") {
tokenize `varlist'
loc treat `1'
}
else {
if ("`ignoretreat'" != ""|"`type'" == "miss" | "`type'" == "missing") {
tokenize `varlist'
loc outcome `1'
}
else {
tokenize `varlist'
loc outcome `1'
loc treat `2'
}
}
}
qui save `backup',replace
if ("`type'" == "treat" | "`type'" == "miss" | "`type'" == "missing") {
tempfile backup_misstable
marksample touse
//drop missing from controls sss
tempvar countmissvar minrowmiss
qui replace `touse' = . if `touse' == 0
qui egen `countmissvar' = rowmiss(`touse')
qui bysort `i': egen `minrowmiss' = min(`countmissvar')
*cap drop if `minrowmiss' != 0 //table right, figure wrong sss
//cap drop if `touse' == 0 //figure right, table wrong
// misschk `varlist', extmiss // search misschk; install spost9_ado
// strip off string variables
tempvar varlist1
loc varlist1 `varlist'
parse "`varlist1'", parse(" ")
local vars
while "`1'" != "" { // loop through variables
capture confirm numeric variable `1'
if _rc==0 {
local vars "`vars' `1'"
}
mac shift
}
local varlist1 "`vars'"
parse "`varlist1'", parse(" ")
local nvar = 0
di _n in g " # Variable # Missing % Missing"
di in g "--------------------------------------------"
tempvar ifin
mark `ifin' `if' `in'
quietly tab `ifin'
local total = r(N)
*display `total'
while "`1'" != "" { // loop through variables
local ++nvar
//qui count if `1'>=. // count missing;
qui count if `1'>=. & `ifin' // count missing;
* create binary variables indicating if observation is missing
if "`dummy'"~="" {
if "`replace'"=="replace" {
capture drop `gennm'`1'
}
//quietly gen `gennm'`1' = (`1'>=.) //
quietly gen `gennm'`1' = (`1'>=.) if `ifin' //
label var `gennm'`1' "Missing value for `1'?"
label val `gennm'`1' lmisschk
}
* list # and percent missing
di in y %3.0f " `nvar' " _col(7) "`1'" ///
_col(23) %7.0f r(N) _col(36) %6.1f 100*r(N)/`total'
mac shift
} // loop through list of variables
parse "`varlist1'", parse(" ")
// loop through all variables and count missing
tempvar ismissn ismissw missw missn
quietly gen `missn' = 0 if `ifin'
label var `missn' "Missing for how many variables?"
quietly gen str1 `missw' = "" if `ifin'
label var `missw' "Missing for which variables?"
local nvar = 0
//local i = 0
local ext "a b c d e f g h i j k l m n o p q r s t u v w x y z" // 1.1.0
while "`1'" != "" {
local ++nvar
* ones has only one's digit of variable number
local ones = mod(`nvar',10)
* drop tempvars from last loop
capture drop `ismissn' `ismissw'
* 1 if mssing, else 0; . if not in if in
capture quietly gen `ismissn' = (`1'>=.) if `ifin' // changed == 1.1.0
* string with indicator of missing status. Space if no missing;
* then if missing, either . or digit number.
capture quietly gen str1 `ismissw' = "`notmissstr'"
quietly replace `ismissw' = "." if `1'==. & `ifin'
foreach ltr in `ext' {
quietly replace `ismissw' = "`ltr'" if `1'==.`ltr' & `ifin'
}
* add blank every 5th variable
if mod(`nvar'-1,5) == 0 {
quietly replace `missw' = `missw' + " "
}
* build string with pattern of missing data
quietly replace `missw' = `missw' + `ismissw'
* count total number of missing for given case
quietly replace `missn' = `missn' + `ismissn'
mac shift
}
capture drop `ismissn' `ismissw'
// List results
* patterns of missing data
*tab `missw' if `ifin', `nosort'
* number missing for given observations
tab `missn' if `ifin'
qui save `backup_misstable', replace
}
qui use `backup', clear
marksample touse
//drop missing from controls
if "`leavegap'" == "" {
cap drop if `touse' == 0
}
else if "`leavegap'" != "" {
tempvar countmissvar minrowmiss
qui replace `touse' = . if `touse' == 0
qui egen `countmissvar' = rowmiss(`touse')
qui bysort `i': egen `minrowmiss' = min(`countmissvar')
cap drop if `minrowmiss' != 0
}
quietly count if `touse'
if r(N) == 0 {
error 2000
}
local ids `i'
local tunit `t'
//limit the unit number:
bysort `i': gen nvals = (_n == 1)
qui count if nvals
*di "`r(N)'"
if ("`bycohort'" == "" ) {
if (r(N) > 500 & "`displayall'" == "") {
di "If the number of units is more than 500, we randomly select 500 units to present. You can use displayall option to show all units"
tempfile holding
qui save `holding'
qui keep `i'
qui duplicates drop
set seed 1234
qui sample 500, count
qui merge 1:m `i' using `holding', assert(match using) keep(match) nogenerate
}
}
tempvar nids
cap label list `ids'
if "`r(k)'" != "" { //numeric units indicator with labels:
qui egen `nids' = group(`ids')
*label list `ids'
}
else { //numeric units indicator without labels or string variable:
capture confirm numeric variable `ids'
if !_rc { //numeric units indicator without labels:
tempvar labelids
qui tostring `ids', gen(`labelids')
labmask `ids', val(`labelids')
*label list `ids'
qui egen `nids' = group(`ids')
}
else { //string variable:
tempvar i_numeric labeli
qui encode `ids',gen(`i_numeric')
*label list `i_numeric'
drop `ids'
rename `i_numeric' `ids'
qui egen `nids' = group(`ids')
}
}
qui levelsof `nids' if `touse'
loc numids = r(r)
// ignore treatment:
tempvar gcontrol
capture confirm variable `treat'
if !_rc {
qui levelsof `treat' if `touse', loc (levstreat)
loc numlevstreat = r(r)
if ("`bycohort'" != "" & `numlevstreat' != 2) {
di as err "option bycohort works only with dummy treatment variable"
exit 198
}
}
capture assert `treat' == 0 | `treat' == 1
if ("`bycohort'" != "" & _rc) {
di as err "option bycohort works only with dummy treatment variable"
exit 198
}
if ("`ignoretreat'" != "" | "`type'" == "miss" | "`type'" == "missing") {
cap gen `gcontrol' = 1
}
*if ("`continuoustreat'" != "" & "`type'" == "outcome") {
else if (`numlevstreat' > 2 & "`type'" == "outcome") {
cap gen `gcontrol' = 1
}
else {
*if ("`ignoretreat'" != "" | "`type'" == "miss" | "`type'" == "missing") {
*cap gen `gcontrol' = 1
*}
*else {
if (`numlevstreat' == 2) {
tempvar max_treat
cap bys `nids': egen `max_treat' = max(`treat')
cap gen `gcontrol' = 1
qui replace `gcontrol' = 0 if `max_treat' >= 1
}
else {
if (`numlevstreat' == 1) {
di "Only one treatment level"
cap gen `gcontrol' = 1
}
else {
if ("`prepost'" != "") {
di as err "with more than two treatment levels, option prepost may not be combined"
exit 198
}
else {
if (`numlevstreat' >= 5 & "`continuoustreat'" == "") {
di "Too many treatment levels; treat as continuous."
local continuoustreat `"continuoustreat"'
cap gen `gcontrol' = 1
}
if (`numlevstreat' <= 4 & "`continuoustreat'" != "") {
di "Too few treatment levels; consider drop the continuoustreat option."
}
}
}
}
*}
}
sort `ids' `tunit'
//sort by time of first treatment
if "`bytiming'" != "" {
tempvar bytime
tempvar min_bytime
tempvar num_trtime
cap gen `bytime' = .
cap replace `bytime' = `tunit' if `treat' > = 1
cap bys `nids': egen `min_bytime' = min(`bytime')
cap bys `nids': egen `num_trtime' = count(`bytime')
drop `bytime'
tempvar nids2
tempvar nids3
decode `ids', generate(`nids2')
sencode `nids2', generate(`nids3') gsort(`min_bytime' -`num_trtime' `ids')
*tab `min_bytime',m // missing: controls
*tab `num_trtime',m // 0: controls
*tab `ids',m
}
else {
tempvar nids2 nidslab
decode `ids', generate(`nids2')
sencode `nids2', generate(`nidslab')
}
qui levelsof `nids' if `touse' , loc (levsnids)
/*
tempvar newtime
egen `newtime' = group(`tunit')
*qui sum `newtime'
*loc maxmintime = r(max) - r(min)
*qui levelsof `newtime'
*loc numsoftime = r(r)
*loc plotcoef = `maxmintime' / (`numsoftime' -1)
tempvar labeltime
qui tostring `tunit', gen(`labeltime')
labmask `newtime', val(`labeltime')
*/
tempvar maxtime mintime timegap inttimegap timegap2 mintimegap id_oneobs
cap bysort `nids': gen `maxtime' = `tunit'[_N]
qui sum `maxtime'
loc maxmaxtime = r(max)
cap bysort `nids': egen `mintime' = min(`tunit')
qui sum `mintime'
loc minmintime = r(min)
loc maxmaxminmingap = `maxmaxtime' - `minmintime'
qui levelsof `tunit'
loc numtime = r(r)
cap gen `timegap' = (`maxmaxminmingap')/(`numtime'-1) //possible common difference
qui gen `inttimegap' = int(`timegap')
cap bysort `nids': gen `timegap2' = `tunit'[_n]-`tunit'[_n-1]
cap bysort `nids': egen `mintimegap' = min(`timegap2')
if "`leavegap'" != "" {
if ( `timegap' != `mintimegap' | `inttimegap' != `timegap') { //not arithmetic sequence
tempvar differencetime
cap bysort `nids': gen `differencetime' = `tunit'[_n] - `tunit'[_n-1]
qui sum `differencetime'
loc min_differencetime = r(min)
loc max_differencetime = r(max)
loc divide_differencetime = `max_differencetime' / `min_differencetime'
if (`min_differencetime' != `max_differencetime' & `min_differencetime' != 1 & `divide_differencetime' == int(`divide_differencetime')) { // 两两difference相除是整数倍
qui save `backup', replace
qui keep `nids'
qui duplicates drop `nids', force
qui expand `numtime'
cap bysort `nids': gen `tunit' = `minmintime' + (_n-1) * `min_differencetime'
qui merge 1:1 `nids' `tunit' using `backup'
qui drop _merge
}
else { //commmon difference = 1
qui save `backup', replace
qui keep `nids'
qui duplicates drop `nids', force
qui expand `maxmaxminmingap'
cap bysort `nids': gen `tunit' = `minmintime' + _n
qui merge 1:1 `nids' `tunit' using `backup'
qui drop _merge
}
}
}
if "`leavegap'" == "" {
loc alltimegap = `maxmaxminmingap'/(`numtime'-1)
if (`timegap' != `mintimegap' | `inttimegap' != `timegap') {
di "Time is not evenly distributed (possibly due to missing data). "
}
else {
tempvar tunit_merge
qui gen `tunit_merge' = `tunit'
qui save `backup', replace
qui keep `nids'
qui duplicates drop `nids', force
qui expand `numtime'
cap bysort `nids': gen `tunit_merge' = `minmintime' + (_n-1) * `alltimegap'
qui merge 1:1 `nids' `tunit_merge' using `backup'
tempvar difftime
qui gen `difftime' = (`tunit_merge' == `tunit')
qui sum `difftime'
loc min_difftime = r(min)
loc max_difftime = r(max)
*if (`max_difftime' != `min_difftime') {
*if (`alltimegap' != 1) {
*di "Time is not evenly distributed (possibly due to missing data). "
*}
*}
qui drop `tunit_merge'
qui drop _merge
}
}
tempvar newtime
qui egen `newtime' = group(`tunit')
tempvar labeltime
qui tostring `tunit', gen(`labeltime')
labmask `newtime', val(`labeltime')
//indicate the last period as a different colored dot in outcome plot if only treated in the last period:
tempvar lastchangedot maxtime2 dtreat islastchangedot
cap bysort `nids': gen `maxtime2' = `tunit'[_N-1]
cap gen `lastchangedot' = 0
cap bysort `nids': replace `lastchangedot' = 1 if `treat' == 1 & `tunit' == `maxtime'
cap bysort `nids': gen `dtreat' = `treat'[_N] - `treat'[_N-1] if `lastchangedot' == 1
cap bysort `nids': replace `lastchangedot' = 0 if `dtreat' == 0
cap count if `lastchangedot' == 1
loc islastchangedot = (r(N) != 0)
/*
//paint the period right before treatment:
if ("`ignoretreat'" == "" & "`type'" != "miss" & "`type'" != "missing") {
if ("`type'" == "outcome" & "`discreteoutcome'" == "" ) {
cap destring `labeltime', replace
tempvar L1_labeltime L1_time
cap bys `nids': gen `L1_labeltime' = `labeltime'[_n-1] if `treat' >= 1
cap bys `nids': egen `L1_time' = min(`L1_labeltime')
cap replace `treat' = 1 if `labeltime' == `L1_time'
}
}
*/
tempvar plotvalue varmiss
qui egen `varmiss' = rowmiss(`varlist')
if ("`continuoustreat'" != "" & "`type'" == "outcome") {
cap gen `plotvalue' = 0
}
else {
if ("`ignoretreat'" != ""|"`type'" == "miss" | "`type'" == "missing") {
if "`leavegap'" != "" {
cap gen `plotvalue' = 0 if `varmiss' == 0
}
else {
cap gen `plotvalue' = 0
}
}
else {
if ("`type'" == "outcome" & `numlevstreat' > 2) {
cap gen `plotvalue' = 0
di "The number of treatment level is > 2; we ignore the treatment status."
}
else { //"`type'" == "treat"
if "`leavegap'" != "" {
cap gen `plotvalue' = `treat' if `varmiss' == 0
}
else {
cap gen `plotvalue' = `treat'
}
//remapping continuous treatment to 5 levels to fit color palettes levels:
if "`continuoustreat'" != "" {
qui sum `plotvalue'
loc maxminplotvalue = r(max) - r(min)
qui replace `plotvalue' = int((`plotvalue' - r(min)) * 4 / `maxminplotvalue' )
}
}
}
}
if ("`type'" == "miss" | "`type'" == "missing") {
if ("`ignoretreat'" == "") {
tempvar ignoretreat
cap gen `ignoretreat' = 1
}
}
qui levelsof `plotvalue' if `touse', loc (levsplot)
loc numlevsplot = r(r)
if ("`ignoretreat'" == "") {
if ("`continuoustreat'" == "" | "`type'" != "outcome") {
if `numlevstreat' == 2 {
if "`prepost'" != "" {
foreach x of loc levsplot {
qui replace `plotvalue' = `x' + 1 if `treat' == `x' & `treat' != 0
}
qui replace `plotvalue' = 1 if `treat' == 0 & `gcontrol' == 0 //treated(pre)
//levsplot: 0 <- control; 1 <- pre; 2 <- post
qui levelsof `plotvalue' if `touse', loc (levsplot)
loc numlevsplot = r(r)
}
}
else if `numlevstreat' > 2 {
if ("`type'" == "treat") {
tempvar altlevsplot
qui egen `altlevsplot' = group(`plotvalue') if `touse'
cap replace `altlevsplot' = `altlevsplot' - 1
qui levelsof `altlevsplot' if `touse', loc (levsplot)
loc numlevsplot = r(r)
qui drop `altlevsplot'
}
}
}
}
//deciding color
if ("`type'" == "outcome") {
colorpalette "198 219 239" "251 162 127" "red", n(`numlevsplot') nograph
}
else {
colorpalette "198 219 239" "ebblue" "navy" "30 45 83" "black", n(`numlevsplot') nograph
}
if (`"`mycolor'"' != "") {
colorpalette `mycolor' , n(`numlevsplot') nograph
}
if "`theme'" == "bw" {
colorpalette Greys , n(`numlevsplot') nograph
}
if (`"`mycolor'"' != "Greys" & `"`mycolor'"' != "") {
if ( "`theme'" == "bw") {
di as err " If mycolor is not Greys, mycolor cannot combine with option theme(bw)"
exit 198
}
}
qui return list
tokenize `levsplot'
loc trpreortr `2'
tempvar nopre
if "`trpreortr'" != "" {
cap gen `nopre' = (`trpreortr' == 2)
}
else {
cap gen `nopre' = 0
}
if `nopre' != 1 {
foreach w of loc levsplot {
loc uu = `w' + 1 //012 -> 123
loc col`w' = r(p`uu')
// colorpalette stores #th color in r(p#)
}
}
else {
foreach w of loc levsplot {
if `w' == 0 {
loc uu = `w' + 1
loc col`w' = r(p`uu')
}
else if `w' == 2 {
loc col`w' = r(p`w')
}
}
}
if (`"`xlabel'"'=="") {
qui sum `newtime', mean
local xlabel `"xlabel(`r(min)'(`xlabdist')`r(max)', angle(90) nogrid labsize(tiny) valuelabel noticks)"'
}
if `"`bytiming'"' != "" { // With bytiming:
if (`"`ylabel'"'=="") {
qui sum `nids3', mean
local ylabel `"ylabel(`r(min)'(`ylabdist')`r(max)', angle(0) nogrid labsize(tiny) valuelabel noticks)"'
}
}
else { // Without bytiming:
if (`"`ylabel'"'=="") {
qui sum `nids', mean
local ylabel `"ylabel(`r(min)'(`ylabdist')`r(max)', angle(0) nogrid labsize(tiny) valuelabel noticks)"'
}
}
tempvar bgplotvalue labplotvalue
qui bysort `nids': egen `bgplotvalue' = min(`plotvalue')
qui levelsof `bgplotvalue' if `touse', loc (bglevsplot)
label define `labplotvalue' 0 "Always Under Control" 1 "Treatment Status Changed" 2 "Always Treated"
label val `bgplotvalue' `labplotvalue'
if ("`type'" == "outcome") {
//1. ploting outcome: type(outcome):
if ("`discreteoutcome'" == "" ) { //continuous outcome
//1.1. plotting lines of continuous outcome:
qui tsset `nids' `tunit'
qui drop if `tunit'==.
tsfill, full
tempvar stagger0 stagger
qui by `nids': gen `stagger0' =1 if `treat'[_n]-`treat'[_n+1]==0
qui by `nids': replace `stagger0' =0 if `treat'[_n]-`treat'[_n+1]==1
qui egen `stagger' = min(`stagger0')
loc staggersaclar=`stagger'
if (`staggersaclar' == 0) { //treatment reversal:
if ("`continuoustreat'" == "" & "`ignoretreat'" == "" & `numlevsplot'!=1){
di as err "continuous outcome lines cannot work with treatment reversals in Stata, please try the R version to make it"
exit 198
}
}
di "now display lines of continuous outcome"
loc lines1
if ("`bycohort'" == "" ) {
foreach w of loc levsplot {
foreach x of loc levsnids {
if (`"`prepost'"' != "" & `w' == 1 ) {
//with prepost: `w' == 1: treated(pre)
if `islastchangedot' == 0 {
loc lines1 `" `lines1' || line `outcome' `tunit' if `nids' == `x' & `gcontrol' == 0 & `touse', lcolor("`col`w''")"'
}
else{
loc lines1 `" `lines1' || line `outcome' `tunit' if `nids' == `x' & `gcontrol' == 0 & `touse', lcolor("`col`w''") || scatter `outcome' `tunit' if `nids' == `x' & `gcontrol' == 0 & `touse' & `lastchangedot' == 1, mcolor("`col`3''") msize(vsmall)"'
}
}
else if (`"`prepost'"' == "" & `w' == 0 ) {
//without prepost: `w' == 0: treated(pre)
if `islastchangedot' == 0 {
loc lines1 `" `lines1' || line `outcome' `tunit' if `nids' == `x' & `gcontrol' == 0 & `touse' , lcolor("`col`w''")"'
}
else{
loc lines1 `" `lines1' || line `outcome' `tunit' if `nids' == `x' & `gcontrol' == 0 & `touse', lcolor("`col`w''") || scatter `outcome' `tunit' if `nids' == `x' & `gcontrol' == 0 & `touse' & `lastchangedot' == 1, mcolor("`col`2''") msize(vsmall)"'
}
}
loc lines1 `" `lines1' || line `outcome' `tunit' if `nids' == `x' & `plotvalue' == `w' & `touse' , lcolor("`col`w''")"'
}
}
if ("`continuoustreat'" != "") {
tw `lines1' legend(region(lstyle(none) fcolor(none)) order(1) label(1 "Observed") size(*0.8) symxsize(3) keygap(1)) yscale(noline) xscale(noline) `options'
}
else { // not continuoustreat:
if ("`ignoretreat'" != "" | `numlevsplot'==1) { // ignore treatment:
tw `lines1' legend(region(lstyle(none) fcolor(none)) order(1) label(1 "Observed") size(*0.8) symxsize(3) keygap(1)) yscale(noline) xscale(noline) `options'
}
else {
if `numlevstreat' > 2 {
tw `lines1' legend(region(lstyle(none) fcolor(none)) order(1) label(1 "Observed") size(*0.8) symxsize(3) keygap(1)) yscale(noline) xscale(noline) `options'
}
else { // not ignore treatment:
if ("`bygroup'" != "" ) { //with bygroup:
if `islastchangedot' == 0 {
tempvar allunits
qui egen `allunits' = max(`nids')
local largestlegend = 3*`allunits' + 1
local midlegend = 2*`allunits'
if ("`bygroupside'" == "" ) {
twoway `lines1' by(`bgplotvalue', note("") cols(1)) legend(region(lstyle(none) fcolor(none)) rows(1) order(1 "Control" `midlegend' "Treated (Pre)" `largestlegend' "Treated (Post)") size(*0.8) symxsize(3) keygap(1)) yscale(noline) xscale(noline) `options'
}
else if ("`bygroupside'" != "" ) {
twoway `lines1' by(`bgplotvalue', note("") rows(1)) legend(region(lstyle(none) fcolor(none)) rows(1) order(1 "Control" `midlegend' "Treated (Pre)" `largestlegend' "Treated (Post)") size(*0.8) symxsize(3) keygap(1)) yscale(noline) xscale(noline) `options'
}
}
else {
tempvar allunits
qui egen `allunits' = max(`nids')
local largestlegend = `allunits' + 2
local midlegend = `allunits' + 1
if ("`bygroupside'" == "" ) {
twoway `lines1' by(`bgplotvalue', note("") cols(1)) legend(region(lstyle(none) fcolor(none)) rows(1) order(1 "Control" `midlegend' "Treated (Pre)" `largestlegend' "Treated (Post)") size(*0.8) symxsize(3) keygap(1)) yscale(noline) xscale(noline) `options'
}
else if ("`bygroupside'" != "" ) {
twoway `lines1' by(`bgplotvalue', note("") rows(1)) legend(region(lstyle(none) fcolor(none)) rows(1) order(1 "Control" `midlegend' "Treated (Pre)" `largestlegend' "Treated (Post)") size(*0.8) symxsize(3) keygap(1)) yscale(noline) xscale(noline) `options'
}
}
}
else{ //without bygroup: prepost=on:
if (`"`prepost'"' != "") {
if `islastchangedot' == 0 {
tempvar allunits
qui egen `allunits' = max(`nids')
local largestlegend = 3*`allunits' + 1
local midlegend = 2*`allunits'
tw `lines1' legend(region(lstyle(none) fcolor(none)) rows(1) order(1 "Control" `midlegend' "Treated (Pre)" `largestlegend' "Treated (Post)") size(*0.8) symxsize(3) keygap(1)) yscale(noline) xscale(noline) `options'
}
else {
tempvar allunits
qui egen `allunits' = max(`nids')
local largestlegend = `allunits' + 2
local midlegend = `allunits' + 1
tw `lines1' legend(region(lstyle(none) fcolor(none)) rows(1) order(1 "Control" `midlegend' "Treated (Pre)" `largestlegend' "Treated (Post)") size(*0.8) symxsize(3) keygap(1)) yscale(noline) xscale(noline) `options'
}
}
else { //prepost = off:
if `islastchangedot' == 0 {
tempvar allunits