{smcl} {* *! version 1.0.1 12jun2006}{...} {cmd:help tomata}{right:({help ssc:SSC}; user written)} {hline} {title:Title} {pstd} {hi:tomata} -- Make view matrices of Stata variables {title:Syntax} {p 8 12 2} {cmd:tomata} [{it:{help varlist}}] {ifin} [{cmd:,} {it:options} ] {col 12}{it:options}{col 25}description {col 12}{hline 49} {col 12}{cmdab:nom:issing}{col 25}casewise exclusion of missing values {col 12}{hline 49} {title:Description} {pstd} {cmd:tomata} creates separate view matrices for each variable specified or, if no variables are specified, all variables in the Stata dataset. {title:Options} {phang} {cmd:nomissing} specifies that observations that contain missing in any of the variables are to be excluded from all view matrices created. {title:Remarks} {pstd} Use {cmd:tomata} from Stata's dot prompt, not from Mata's colon prompt. {pstd} {cmd:tomata} is intended for use when you are using Mata interactively; see {bf:{help mf_st_view:[M-5] st_view()}} to create view matrices within programs. {pstd} For example, interactively, for teaching purposes, you wish to run a regression: . {cmd:sysuse auto, clear} . {cmd:tomata mpg weight foreign, nomiss} . {cmd:mata:} : {cmd:y = mpg} : {cmd:X = (weight, foreign, J(rows(weight), 1, 1))} : {cmd:b = invsym(X'X)*X'y} : {cmd:b} : {cmd:end} {title:Diagnostics} {pstd} None. {title:Source code} {pstd} {view tomata.ado, adopath asis:tomata.ado}. {title:Author} {pstd} William Gould, StataCorp. {title:Also see} {p 4 13 2} Online: help for {bf:{help mf_st_view:[M-5] st_view()}} {p_end}