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// documentation written for markdoc
/***
[Version: 3.1.0](https://github.com/haghish/rcall/tags)
cite: [Haghish, E. F. (2019). Seamless interactive language interfacing between R and Stata. The Stata Journal, 19(1), 61-82.](https://journals.sagepub.com/doi/full/10.1177/1536867X19830891)
rcall
=====
seamless interactive __[R](https://cran.r-project.org/)__ in Stata.
The command automatically returns {help return:rclass} R objects with
_integer_, _numeric_, _character_, _logical_, _matrix_, _data.frame_, _list_, and _NULL_
classes to Stata. It also allows passing Stata variable, dataset,
macro, scalar, and matrix to R as well as load a dataframe from R
to Stata automatically,
which provides an automated reciprocal communication between Stata and R.
in addition to robust automated data communication between Stata and R, __rcall__ also
includes several modes for integrating R into Stata, including:
1. __interactive__: executing R code within Stata do-file editor (allowing reproducible data analysis practice)
2. __console__: simulating R console within Stata console for interactive exploratory analysis
3. __vanilla__: embedding R base function and R packages within Stata programs defensively
for more information and examples visit [rcall homepage](http://www.haghish.com/packages/Rcall.php) and
its [GitHub repository](https://github.com/haghish/rcall). note that __rcall__ is only
hosted on GitHub and must be installed using the [github command](https://github.com/haghish/github).
Syntax
------
To call R from Stata use the following syntax
{p 8 16 2}
rcall [{help rcall##modes:{it:mode}}] [{cmd::}] [{it:R-command}]
{p_end}
rcall can also source an R script file:
rcall script "{it:filename.R}" [, args() vanilla ]
the __args()__ option can be used to give instructions or define objects in R before sourcing
the script file. thus, all of the functions mentioned below can
be included in the __args__ to pass dataset, matrices, variables, scalars, and macros to R prior to
sourcing. programmers are recommended to add the __vanilla__ option to source the
script file in vanilla mode (see below):
in addition to __script__ subcommand, the package also includes
a few other subcommands to facilitate integrating R in Stata. the general syntax is
as follows:
{p 8 16 2}
rcall [{help rcall##subcommand:{it:subcommand}}]
{p_end}
the following functions can be used to communicate data from Stata to R:
{synoptset 22 tabbed}{...}
{synopthdr:Function}
{synoptline}
{synopt:{opt st.scalar(name)}}passes a scalar to R{p_end}
{synopt:{opt st.matrix(name)}}passes a matrix to R{p_end}
{synopt:{opt st.var(varname)}}passes a numeric or string variable to R{p_end}
{synopt:{opt st.data(filename)}}passes Stata data to R. without _filename_, the currently loaded data is used. {p_end}
{synopt:{opt st.load(dataframe)}}loads data from R dataframe to Stata{p_end}
{synoptline}
{p2colreset}{...}
{marker modes}{...}
Modes
=====
The _mode_ changes the behavior of the package and it can be __vanilla__ or __interactive__.
The default mode is __interactive__, which is used if no other mode is specified.
Finally, when the [{it:R-command}] is not specified (i.e. only __rcall__ is typed), the __console__ mode
will be executed which simulates R console within Stata results window for interactive
use. In all of these modes, __rcall__ returns _rclass_ objects from R to Stata. These
modes are summarized below:
{* the new Stata help format of putting detail before generality}{...}
{synoptset 22 tabbed}{...}
{synopthdr:Mode}
{synoptline}
{synopt: __[vanilla](http://www.haghish.com/packages/Rcall.php#vanilla_mode)__ }Calls R non-interactively. This mode is advised for programmers
who wish to embed R in Stata packages{p_end}
{synopt: __[interactive](http://www.haghish.com/packages/Rcall.php#interactive_mode)__ }when the mode is not specified, R is called interactively
which memorizes the actions, objects available in the R memory, the attached
datasets, and the loaded packages. {p_end}
{synopt: __[console](http://www.haghish.com/packages/Rcall.php#console_mode)__ }when the R command is not specified, R is called interactively
and in addition, R console is simulated within the results windows of Stata.
In the console mode users can type R commands directly in Stata and get the
results back interactively. Similarly, the results are returned to Stata
in the background and can be accessed in Stata when quiting the console
mode. {p_end}
{synoptline}
{p2colreset}{...}
{marker subcommand}{...}
Subcommands
=================
__rcall__ allows a few subcommands which provide several features to facilitate
working with the package interactivey. The subcommands are summarized in the
table below:
{* the new Stata help format of putting detail before generality}{...}
{synoptset 22 tabbed}{...}
{synopthdr:Subcommand}
{synoptline}
{synopt:[setpath](http://www.haghish.com/packages/Rcall.php#setpath_subcommand) {it:"path/to/R"}}permanently defines the path to executable
R on the machine.{p_end}
{synopt:[clear](http://www.haghish.com/packages/Rcall.php#clear_subcommand)}erases
the R memory and history in the interactive mode. {p_end}
{synopt:script}executes an R script file and returns the results to Stata (se below) {p_end}
{synopt:[warnings](http://www.haghish.com/packages/Rcall.php#warnings_subcommand)}shows
the warnings returned from R {p_end}
{synopt:[describe](http://www.haghish.com/packages/Rcall.php#describe_subcommand)}returns
the R version and paths to R, RProfile, and Rhistory {p_end}
{synopt:[history](http://www.haghish.com/packages/Rcall.php#history_subcommand)}opens
__Rhistory.do__ in do-file editor which stores the history of the
interactive R session. {p_end}
{synopt:[site](http://www.haghish.com/packages/Rcall.php#site_subcommand)}opens
__rprofile.site__ in do-file editor which is
used for customizing R when is called from Stata. {p_end}
{synoptline}
{p2colreset}{...}
Programmers' commands
=====================
Using __R__ and its add-on packages inside Stata programs requires careful consideration
of dependencies. Programmers who use rcall for developping Stata packages would be
concerned with questions such as:
1. what version of rcall is installed on the users' machine?
2. what is the minimum R version required for running this program within Stata?
3. what R packages are required to be installed and what versions of these packages are required?
Programmers can use __rcall_check__ command to evaluate the required versions of R, R packages, or __rcall__ itself:
{p 8 16 2}
{browse "http://www.haghish.com/packages/Rcall.php#check":{bf:rcall_check}} [{it:pkgname>=ver}] [{it:pkgname>=ver}] [...] , {opt r:version(ver)} {opt rcall:version(str)}
{p_end}
Programmers are also encouraged to avoid writing R code within Ado programs.
instead, to keep things cleaner, write the R part of your programs in an R script
and source it using the __rcall source__ command. then, use the __args__ argument
along __vanilla__ options to define the objects required by the R script.
For example, if you write __correlation = cor(df\$price, df\$mpg)__ on a file
named __rscript.R__, then you can source this file in a clean R environment
while defining the object __df__ which is mentioned in the script:
sysuse auto, clear
rcall source "rscript.R", args(df <- st.data();) vanilla
Normally Rcall uses __shell__ to execute __R__, but Stata on Windows in batch mode disables __shell__.
For these situations, you can override the default with your own launcher via the __shell(...)__ option.
A useful launcher that works is __bshell__ from the __parallel__ package
(we have it first invoke __cmd__ as we need to process pipe redirects).
rcall shell(bshell cmd /c) vanilla: ....
Multiple instances of Rcall can be run simultaneously using the vanilla mode.
Description
===========
__[R statistical language](https://cran.r-project.org/)__ is a free software
and programming langage for statistical computing and graphics.
The rcall package combines the power of R with Stata, allowing the
Stata users to call R interactively within Stata, embed it in Stata programs, and
communicate data and analysis results between R and Stata simultaniously.
In other words, anytime an R code is executed, the R objects are available
for further manipulation in Stata.
R objects with
_numeric_, _integer_, _character_, _logical_, _matrix_, _list_, and _NULL_
classes are automatically returned to Stata as {help return:rclass}.
R objects with _data.frame_ class can be automatically loaded from R to
Stata using the __st.load()__ function (see below).
__rcall__ uses the __try__ function to evaluate the R code and
returns __r(rc)__ scalar which is an indicator for errors occuring in R. if __r(rc)__
equals zero, R has successfully executed the code. Otherwise, if __r(rc)__ equals
one an error has occured and __rcall__ will return the error message and break the
execution.
Communication from R to Stata
-----------------------------
Stata automatically receives R objects as {help return:rclass} anytime
the rcall is executed. If R is running interactively
(i.e. without __vanilla__ subcommand), the previous objects still remain accessable
to Stata, unless they are changed or erased from R. Moreover, the packages
that you load from Stata in R remain loaded until you detach them.
Accessing R objects in Stata is simultanious which makes working with
rcall convenient. For example a _numeric_, or _string_ vector which is
defined in R, can be accessed in Stata as simple as calling the name of that
object withing {help rclass} i.e. __r(_objectname_)__.
A _numeric_ object example:
. rcall clear //clear the R interactive session
. rcall: a <- 100
. display r(a)
100
Without the __vanilla__ subcommand or until __rcall clear__ command is used again,
the defined object remains in the memory of R and consequently, returned to Stata
anytime R is called.
. rcall: a
[1] 100
A _string_ object example:
. rcall clear //clear the R interactive session
. rcall: str <- "Hello World"
. display r(str)
Hello World
. rcall: str <- c("Hello", "World")
. display r(str)
"Hello" "World"
A _vector_ example:
. rcall: v <- c(1,2,3,4,5)
. display r(v)
1 2 3 4 5
A _matrix_ example:
. rcall: A = matrix(1:6, nrow=2, byrow = TRUE)
. mat list r(A)
r(A)[2,3]
c1 c2 c3
r1 1 2 3
r2 4 5 6
A _list_ example:
. rcall: mylist <- list(a=c(1:10))
. display r(mylist_a)
1 2 3 4 5 6 7 8 9 10
A _logical_ example:
. rcall: l <- T
. display r(l)
TRUE
A _NULL_ example:
. rcall: n <- NULL
. display r(n)
NULL
Regarding communicating R data set to Stata automatically, see the
__st.load(_dataframe_)__ function below.
Communication from Stata to R
-----------------------------
For an ideal reciprocation between Stata and R, Stata should also easily
communicate variables to R. Local and global {help macro:macros} can be passed
within R code, since Stata automatically interprets them while it passes the
code to rcall command, as shown in the example below:
. global a 99
. rcall: (a <- $a)
[1] 99
In order to pass a {help scalar} from Stata to R, you can
use the __st.scalar()__ function as shown below:
. scalar a = 50
. rcall: (a <- st.scalar(a))
[1] 50
Similarly, Stata {help matrix:matrices} can be seamlessly passed to R using
the __st.matrix()__ function as shown below:
. matrix A = (1,2\3,4)
. matrix B = (96,96\96,96)
. rcall: C <- st.matrix(A) + st.matrix(B)
. rcall: C
[,1] [,2]
[1,] 97 98
[2,] 99 100
And of course, you can access the matrix from R in Stata as well:
. mat list r(C)
r(C)[2,2]
c1 c2
r1 97 98
r2 99 100
Passing variables from Stata to R is convenient, using the
__st.var(_varname_)__ function. Therefore, any analysis can be executed in R
simply by passing the variables required for the analysis from Stata to R:
. sysuse auto, clear
. rcall: dep <- st.var(price)
. rcall: pre <- st.var(mpg)
. rcall: lm(dep~pre)
Call:
lm(formula = dep ~ pre)
Coefficients:
(Intercept) pre
11267.3 -238.3
The rcall package also allows to pass Stata data to R within
__st.data(_filename_)__ function. This function relies on the __readstata13__
package in R to load Stata data sets, without converting them to CSV or alike.
The __readstata13__ package
[is faster and more acurate then __foreign__ and __haven__ packages](http://www.haghish.com/stata-blog/?p=21)
and read Stata 13 and 14 datasets. This R package can be installed within Stata as follows:
. rcall: install.packages("readstata13", repos="http://cran.uk.r-project.org")
Specify the relative or absolute path to the data set to transporting data
from Stata to R. For example:
. rcall: data <- st.data(/Applications/Stata/ado/base/a/auto.dta)
. rcall: dim(data)
If the _filename_ is not specified, the function passes the currently loaded
data to R.
. sysuse auto, clear
. rcall: data <- st.data()
. rcall: dim(data)
[1] 74 12
Finally, the data can be imported from R to Stata automatically, using the
__st.load(_dataframe_)__ function. This function will automatically save a
Stata data set from R and load it in Stata by clearing the current data set,
if there is any. Naturally, you can have more control over converting variable
types if you write a proper code in R for exporting Stata data sets. Nevertheless,
the function should work just fine in most occasions:
. clear
. rcall: st.load(cars)
. list in 1/2
{c TLC}{hline 14}{c TRC}
{c |} speed dist {c |}
{c LT}{hline 14}{c RT}
1. {c |} 4 2 {c |}
2. {c |} 4 10 {c |}
{c BLC}{hline 14}{c BRC}
Remarks
-------
You should be careful with using Stata symbols in R. For example, the __$__
sign in Stata is preserved for global macros. To use this sign in R, you
should place a backslash before it to pass it to R. For example:
. rcall: head(cars\$speed)
Also, the object name in R can include a dot, for example:
. rcall: a.name <- "anything"
The rcall package returns scalars and locals which can only include
underscore in the names (e.g. a_name). rcall automatically converts
dots to underscore in the name. In the example above, if you type {cmd:return list}
in Stata, you would get a macro as follos:
. return list
r(a_name) : "anything"
To maximize the speed of calling R from Stata,
detach the packages that are no longer needed and also, drop all the objects
that are of no use for you. The more objects you keep in R memory,
the more time needed to automatically communicate those objects between
R and Stata.
Example
-------
Visit [rcall homepage](http://www.haghish.com/packages/Rcall.php) for more examples and
documentation.
Author
------
__E. F. Haghish__
Department of Psychology
University of Oslo
haghish@uio.no
[rcall Homepage](www.haghish.com/packages/Rcall.php)
Package Updates on [Twitter](http://www.twitter.com/Haghish)
- - -
This help file was dynamically produced by {help markdoc:MarkDoc Literate Programming package}
***/
*cap prog drop R
program define R , rclass
*version 12
// =========================================================================
// Syntax processing
// - if the [:] appears first, it means the rest are not modes or subcommands
// - Process the rcall inputs
// - If R path not defined, and "setpath" not specified, search R path
// =========================================================================
// drop the macros
// -------------------------------------------------------------------------
macro drop RcallError
// check the working directory permission
// --------------------------------------
if missing("$wdpermissions") {
wdpermissions
}
// -------------------------------------------------------------------------
// Search R path, if not specified
// =========================================================================
capture prog drop rpath
capture rpath
tokenize `"`macval(0)'"'
if `"`macval(1)'"' != "setpath" & `"`macval(1)'"' != "setpath:" {
if missing("$Rpath") {
if "`c(os)'" == "Windows" {
// 1- try both "Program Files" and "Program Files (86)"
// 2- Get the list of directories that begin with R-*
// 3- select the last one
local wd : pwd
capture quietly cd "C:\Program Files\R"
if _rc != 0 {
capture quietly cd "C:\Program Files (x86)\R"
if _rc != 0 {
display as err "R was not found on your system. Setup R path manually"
exit 198
}
}
local folder : pwd
local Rdir : dir "`folder'" dirs "R-*", respectcase
tokenize `"`Rdir'"'
while `"`1'"' != "" {
local newest_R `"`1'"'
macro shift
}
quietly cd `"`newest_R'\bin"'
local path : pwd
local path : display "`path'\R.exe"
*global Rpath : display "`path'"
quietly cd "`wd'"
}
// for linux and Mac try 2 possible default paths
else {
local path "/usr/bin/R"
capture confirm file "`path'"
if _rc != 0 {
local path "/usr/local/bin/R"
global Rpath : display "`path'"
}
}
if !missing("`debug'") {
di _n "{title:Path to R}" _n ///
"The path to R was {err:guessed} to be:" _n
display `"{err:`path'}"'
}
}
else {
local path = "$Rpath"
if !missing("`debug'") {
di _n "{title:Path to R}" _n ///
"The path to R was obtained from {err:rpath.ado} to be:" _n
display `"{err:`path'}"'
}
}
capture confirm file "`path'"
if _rc != 0 {
di as txt "{p}R was expected in: `path'"
display as err "{bf:rcall} could not find R on your system"
err 198
}
}
// -------------------------------------------------------------------------
// Input processing
// =========================================================================
// Check if the command includes Colon in the beginning or not
// -----------------------------------------------------------
if substr(trim(`"`macval(0)'"'),1,1) == ":" {
local 0 : subinstr local 0 ":" ""
}
else {
tokenize `"`macval(0)'"'
// debug mode (begining)
// ================
if `"`macval(1)'"' == "debug" | `"`macval(1)'"' == "debug:" {
local 0 : subinstr local 0 "debug" ""
di as err `"02: `macval(0)'"'
tokenize `"`macval(0)'"' //reset
local debug debug
global debug 1
if !missing("`debug'") {
di _n "{title:[1/5] Debug mode}" _n ///
"Running rcall in debug mode"
}
}
//shell command override
// ================
if regexm(`"`macval(0)'"', "shell\(([^\)]*)\)") {
local 0 : subinstr local 0 "shell(`=regexs(1)')" ""
tokenize `"`macval(0)'"' //reset
local shell = regexs(1)
}
// clear R memory
// ================
if `"`macval(0)'"' == "clear" | `"`macval(0)'"' == "clear:" {
capture erase .RData
capture findfile rprofile.R, path("`c(sysdir_plus)'r")
if _rc == 0 {
capture erase "`r(fn)'"
}
capture findfile Rhistory.do, path("`c(sysdir_plus)'r")
if _rc == 0 {
capture erase "`r(fn)'"
tempfile history
tempname knot
qui file open `knot' using "`history'", write text append
file write `knot' "// Rhistory initiated on `c(current_date)' `c(current_time)'" _n
qui file close `knot'
quietly copy "`history'" "`c(sysdir_plus)'r/Rhistory.do"
}
// clear the rcall global memory that is used for data transfer
macro drop rcallglobal*
macro drop rcall_synchronize_mode
macro drop wdpermissions
display as txt "(R memory cleared)"
exit
}
// describe R
// ================
if `"`macval(0)'"' == "describe" | `"`macval(1)'"' == "describe:" {
if "$Rpath" != "" local dpath "$Rpath"
else if "`path'" != "" local dpath "`path'"
di as txt "{hline 79}"
di _col(10) "{bf:R path}:" _col(20) _c
di as txt `"{browse "`dpath'"}"'
quietly rcall vanilla: version = R.Version()\$version.string; ///
arch <- R.Version()\$arch; lst <- ls(globalenv());
di _col(7) "{bf:R version}:" _col(20) _c
if !missing("`r(version)'") {
di as txt "`r(version)', architecture `r(arch)'"
di _col(6) "{bf:Dependency}:" _col(20) _c
capture quietly rcall vanilla: readstata13version <- as.character(packageVersion("readstata13"));
if !missing("`r(readstata13version)'") {
di as txt "readstata13 version `r(readstata13version)'"
}
else di as err "{bf:readstata13} R package is not installed"
}
else di as err "R was not accessed!"
capture findfile rprofile.site, path("`c(sysdir_plus)'r")
if _rc == 0 {
di as txt _col(7) "{bf:R profile}:" _col(20) _c
di as txt `"{browse "`r(fn)'"}"'
}
capture findfile Rhistory.do, path("`c(sysdir_plus)'r")
if _rc == 0 {
di _col(7) "{bf:R history}:" _col(20) _c
di as txt `"{browse "`r(fn)'"}"'
}
else {
tempfile history
tempname knot
qui file open `knot' using "`history'", write text append
file write `knot' "// Rhistory initiated on `c(current_date)' `c(current_time)'" _n
qui file close `knot'
quietly copy "`history'" "`c(sysdir_plus)'r/Rhistory.do"
di _col(7) "{bf:R History}:" _col(20) _c
di as txt "{browse `c(sysdir_plus)'r/Rhistory.do}"
}
di as txt "{hline 79}"
exit
}
// Warnings
// ================
// warnings have to be returned to Stata or stored in a local file, in order
// to be supported by rcall vanilla model, where there is no long-term memory.
// storing a local text file is ugly and thus, i return them as scalars.
// if someday Stata begins supporting text matrices, returning such an object
// would be a better practice
if `"`macval(0)'"' == "warnings" | `"`macval(1)'"' == "warnings:" {
local firstwarning ""
local warningfound ""
forvalues warn = 1(1)50 {
if `"`r(warning`warn')'"' != "" {
if "`firstwarning'" == "" {
local warningfound = 1
di as err _n "Warnings:"
local firstwarning = "1"
}
di as txt r(warning`warn')
}
}
if "`warningfound'" == "" {
di as text "(no warning found)"
}
exit
}
// Synchronize mode
// ================
if `"`macval(1)'"' == "sync" | `"`macval(1)'"' == "sync:" {
local 0 : subinstr local 0 "sync" ""
di as txt "({bf:sync} mode is discontinued in rcall 3.0)" _n
global rcall_synchronize_mode on
local mode sync
}
if `"`macval(1)'"' != "sync" & `"`macval(1)'"' != "sync:" {
macro drop rcall_synchronize_mode
}
// Vanilla mode
// =========================================================================
if `"`macval(1)'"' == "vanilla" | `"`macval(1)'"' == "vanilla:" {
local 0 : subinstr local 0 "vanilla" ""
local vanilla --vanilla
if !missing("`debug'") {
di _n "{title:Vanilla}" _n ///
"Running R in non-interactive batch mode"
}
local mode vanilla
}
// Script vanilla mode
if `"`macval(1)'"' == "script" | `"`macval(1)'"' == "script:" {
local 0 : subinstr local 0 `"`macval(1)'"' ""
local version = int(`c(stata_version)')
if `version' <= 13 {
local trim trim
local version 11
}
if `version' > 13 {
local trim ustrltrim
local version 14
}
if substr(trim(`"`macval(0)'"'),1,1) == ":" {
local 0 : subinstr local 0 ":" ""
local scriptfile `macval(3)'
}
else local scriptfile `macval(2)'
if !missing("`debug'") {
di _n "{title:Script}" _n ///
"Running R Script in non-interactive batch mode"
}
rcallscript using `macval(0)'
return add
exit
}
// debug mode AGAIN (ending)
// =========================
*if substr(trim(`"`macval(0)'"'),1,5) == "debug" {
tokenize `"`macval(0)'"'
if `"`macval(1)'"' == "debug" | `"`macval(1)'"' == "debug:" {
local 0 : subinstr local 0 "debug" ""
di as err `"02: `macval(0)'"'
tokenize `"`macval(0)'"' //reset
local debug debug
global debug 1
if !missing("`debug'") {
di _n "{title:[1/5] Debug mode}" _n ///
"Running rcall in debug mode"
}
}
// Setpath
// =======
*else if substr(trim(`"`macval(0)'"'),1,7) == "setpath" {
if `"`macval(1)'"' == "setpath" | `"`macval(1)'"' == "setpath:" {
local 0 : subinstr local 0 "setpath" ""
confirm file `0'
tempfile Rpath
tempname knot
qui file open `knot' using "`Rpath'", write text replace
file write `knot' "program define rpath" _n
file write `knot' `" global Rpath `macval(0)'"' _n
file write `knot' "end" _n
qui file close `knot'
qui copy "`Rpath'" "`c(sysdir_plus)'r/rpath.ado", replace
if !missing("`debug'") {
di "{title:Memorizing R path}" _n ///
`"the {bf:rpath.ado} was created to memorize the path to `macval(0)'"'
}
exit
}
// HISTORY
// =======
if `"`macval(1)'"' == "history" {
local 0 : subinstr local 0 "history" ""
capture findfile Rhistory.do, path("`c(sysdir_plus)'r")
if _rc == 0 {
*copy "`r(fn)'" Rhistory.do, replace
*display as txt `"(Rhistory coppied to {browse "./Rhistory.do"})"'
doedit "`r(fn)'"
}
else {
display as txt "(Rhistory is empty)"
}
exit
}
// SITE
// =======
if `"`macval(1)'"' == "site" {
local 0 : subinstr local 0 "site" ""
capture findfile rprofile.site, path("`c(sysdir_plus)'r")
if _rc == 0 {
doedit "`r(fn)'"
}
else {
display as err "{bf:rprofile.site} was not found!"
}
exit
}
// Check if the command includes Colon in the end
if substr(trim(`"`macval(0)'"'),1,1) == ":" {
local 0 : subinstr local 0 ":" ""
}
}
// -------------------------------------------------------------------------
// Execute interactive mode (including sync)
// =========================================================================
if trim(`"`0'"') == "" {
local mode interactive
global rcall_interactive_mode on
// when rcall interactive is executed for the first time, restart it
if missing("$rcall_interactive_first_launch") {
quietly rcall clear
}
global rcall_interactive_first_launch "on"
// avoid the sync mode to get repeated in each trial
*if "$rcall_synchronize_mode" == "on" {
* rcall_synchronize
* global rcall_synchronize_mode2 "on"
* macro drop rcall_synchronize_mode
*}
if missing("`vanilla'") {
rcall_interactive
}
else {
di as err "the {bf:vanilla} mode cannot be called interactively"
err 198
}
}
if !missing("`debug'") {
di _n "{title:R command}" _n ///
"The command that you wish to execute in {bf:R} is:" _n(2) ///
`"{err:`macval(0)'}"'
}
// -------------------------------------------------------------------------
// Create and update the history file
// =========================================================================
if missing("`vanilla'") {
// when rcall interactive is executed for the first time, restart it
if missing("$rcall_interactive_first_launch") {
quietly rcall clear
}
global rcall_interactive_first_launch "on"
capture findfile Rhistory.do, path("`c(sysdir_plus)'r")
if _rc == 0 {
tempname knot
qui file open `knot' using "`r(fn)'", write text append
if !missing(`"`macval(0)'"') {
file write `knot' `"rcall `mode': `macval(0)'"' _n
}
qui file close `knot'
}
else {
tempfile history
tempname knot
qui file open `knot' using "`history'", write text append
file write `knot' "// Rhistory initiated on `c(current_date)' `c(current_time)'" _n
if !missing(`"`macval(0)'"') {
file write `knot' `"rcall `mode': `macval(0)'"' _n
}
qui file close `knot'
quietly copy "`history'" "`c(sysdir_plus)'r/Rhistory.do"
}
}
if !missing("`debug'") {
loc stata_output "stata.output"
loc load_data "_load.data.dta"
loc st_data "_st.data.dta"
}
else {
tempfile stata_output load_data st_data
if "`c(os)'" == "Windows" {
local stata_output : subinstr local stata_output "\" "/", all
local load_data : subinstr local load_data "\" "/", all
local st_data : subinstr local st_data "\" "/", all
}
//These below could be anything unique to this stata instance
loc load_mat_prefix "`load_data'"
loc send_mat_prefix "`load_data'"
loc send_var_prefix "`load_data'"
}
// -------------------------------------------------------------------------
// Searching for Matrix
// =========================================================================
while strpos(`"`macval(0)'"',"st.matrix(") != 0 {
local br = strpos(`"`macval(0)'"',"st.matrix")
local l1 = substr(`"`macval(0)'"',1, `br'-1)
local l2 = substr(`"`macval(0)'"',`br',.)
local l2 : subinstr local l2 "st.matrix(" ""
local mt = strpos(`"`macval(l2)'"',")")
local mat = substr(`"`macval(l2)'"',1, `mt'-1)
local l2 = substr(`"`macval(l2)'"',`mt'+1, .)
if !missing("`debug'") {
di _n "{title:st.matrix() function}" _n ///
"You wish to pass Matrix {bf:`mat'} to {bf:R}. This will save " ///
"the matrix as a data set named {bf:_send.matrix.`mat'.dta}"
*"the {bf:matconvert.ado} function, which returns:"
*matconvert `mat'
}
** rcall 2.0 procedure was to convert the matix to R code
** ------------------------------------------------------
*qui matconvert `mat'
*local l2 = `"`r(`mat')'"' + "`l2'"
*local 0 = `"`macval(l1)'"' + `"`macval(l2)'"'
* rcall 3.0: save the matrix as stata data set
* --------------------------------------------
preserve
*clear
*quietly svmat2 `mat', names(col) rnames("MATR0WNAMES")
*quietly saveold "`send_mat_prefix'_send.matrix.`mat'.dta", version(13) replace
quietly matexport `mat', rnames("MATR0WNAMES") filename("`send_mat_prefix'_send.matrix.`mat'") version(13)
restore
local l2 = `"{send.matrix.`mat' <- readstata13::read.dta13("`send_mat_prefix'_send.matrix.`mat'.dta"); row.names(send.matrix.`mat') <- send.matrix.`mat'[, "MATR0WNAMES"]; send.matrix.`mat'[, "MATR0WNAMES"] <- NULL; send.matrix.`mat' <- as.matrix(send.matrix.`mat');}"' + "`l2'"
local 0 = `"`macval(l1)'"' + `"`macval(l2)'"'
// create a macro list of the current matrix data files
if "`sendmatrixlist'" == "" local sendmatrixlist = "`send_mat_prefix'_send.matrix.`mat'.dta"
else local sendmatrixlist = "`sendmatrixlist' " + "`send_mat_prefix'_send.matrix.`mat'.dta"
}
// ------------`mat'-------------------------------------------------------------
// Searching for Scalar
// =========================================================================
while strpos(`"`macval(0)'"',"st.scalar(") != 0 {
local br = strpos(`"`macval(0)'"',"st.scalar")
local l1 = substr(`"`macval(0)'"',1, `br'-1)
local l2 = substr(`"`macval(0)'"',`br',.)
local l2 : subinstr local l2 "st.scalar(" ""
local mt = strpos(`"`macval(l2)'"',")")
local sca = substr(`"`macval(l2)'"',1, `mt'-1)
local l2 = substr(`"`macval(l2)'"',`mt'+1, .)
if !missing("`debug'") {
di _n "{title:st.scalar() function}" _n ///
"You wish to pass Scalar {bf:`sca'} to {bf:R}. This value is: "
display `sca'
}
local sca : display `sca'
local sca : subinstr local sca "." "NA"
//If scalar is string, add double quote
capture local test : display int(`sca')
if missing("`test'") & "`sca'" != "" {
local sca : display `"`sca'"'
local l2 = `"""' + `"`macval(sca)'"' + `"""' + `"`l2'"'
}
else if "`sca'" != "" {
local l2 = "`sca'" + "`l2'"
}
else {
local l2 = `"`sca'"' + "`l2'"
}
local 0 = `"`macval(l1)'"' + `"`macval(l2)'"'
}
// -------------------------------------------------------------------------
// Searching for Data st.data()
// =========================================================================
while strpos(`"`macval(0)'"',"st.data(") != 0 {
local br = strpos(`"`macval(0)'"',"st.data")
local l1 = substr(`"`macval(0)'"',1, `br'-1)
local l2 = substr(`"`macval(0)'"',`br',.)
local l2 : subinstr local l2 "st.data(" ""
local mt = strpos(`"`macval(l2)'"',")")
local filename = substr(`"`macval(l2)'"',1, `mt'-1)
local l2 = substr(`"`macval(l2)'"',`mt'+1, .)
local foreign 1 //load foreign package
//IF THE NAME HAS A PRANTHESIS...
if strpos(`"`macval(filename)'"',"(") != 0 {
local filename : di `"`macval(filename)')"'
local mt = strpos(`"`macval(l2)'"',")")
local filename2 = substr(`"`macval(l2)'"',1, `mt'-1)
local l2 = substr(`"`macval(l2)'"',`mt'+1, .)
local filename : di `"`macval(filename)'`macval(filename2)'"'
}
if !missing("`debug'") {
di _n "{title:st.data() function}" _n ///
"You wish to pass Stata data {bf:`filename'} to {bf:R}..."
}
// Get rid of double quotes or add them!
cap local filename : display "`macval(filename)'"
if _rc != 0 local filename : display `macval(filename)'
//IF FILENAME IS MISSING
if missing("`filename'") {
if "`c(version)'" >= "14" {
qui saveold "`st_data'", version(11) replace
}
else {
qui saveold "`st_data'", replace
}
local dta : di "read.dta13(" `"""' "`st_data'" `"""' ")"
}