Stata Quick Reference and Index
Stata Quick Reference and Index
Stata Quick Reference and Index
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128 Subject index<br />
matrices, continued<br />
number of rows <strong>and</strong> columns, [P] matrix define<br />
operators such as addition, [P] matrix define,<br />
[U] 14.7 Matrix operators<br />
orthonormal basis, [P] matrix svd<br />
partitioned, [P] matrix define<br />
performing constrained estimation, [P] makecns<br />
posting estimation results, [P] ereturn,<br />
[P] estimates<br />
renaming, [P] matrix utility<br />
row <strong>and</strong> column names, [P] ereturn, [P] matrix<br />
define, [P] matrix mkmat, [P] matrix<br />
rownames, [U] 14.2 Row <strong>and</strong> column names<br />
rows <strong>and</strong> columns, [P] matrix define<br />
saving matrix, [P] matrix mkmat<br />
scoring, [P] matrix score<br />
similarity, [MV] matrix dissimilarity, [P] matrix<br />
dissimilarity<br />
store variables as matrix, [P] matrix mkmat<br />
submatrix extraction, [P] matrix define<br />
submatrix substitution, [P] matrix define<br />
subscripting, [P] matrix define,<br />
[U] 14.9 Subscripting<br />
sweep operator, [P] matrix define<br />
temporary names, [P] matrix<br />
trace, [P] matrix define<br />
transposing, [P] matrix define<br />
variables, make into matrix, [P] matrix mkmat<br />
zero, [P] matrix define<br />
matrix<br />
accum comm<strong>and</strong>, [P] matrix accum<br />
coleq comm<strong>and</strong>, [P] matrix rownames<br />
colnames comm<strong>and</strong>, [P] matrix rownames<br />
comm<strong>and</strong>, [MV] matrix dissimilarity<br />
introduction, [P] matrix<br />
define comm<strong>and</strong>, [P] matrix define<br />
dir comm<strong>and</strong>, [P] matrix utility<br />
dissimilarity comm<strong>and</strong>, [P] matrix dissimilarity<br />
drop comm<strong>and</strong>, [P] matrix utility<br />
eigenvalues comm<strong>and</strong>, [P] matrix eigenvalues<br />
glsaccum comm<strong>and</strong>, [P] matrix accum<br />
input comm<strong>and</strong>, [P] matrix define<br />
list comm<strong>and</strong>, [P] matrix utility<br />
opaccum comm<strong>and</strong>, [P] matrix accum<br />
rename comm<strong>and</strong>, [P] matrix utility<br />
roweq comm<strong>and</strong>, [P] matrix rownames<br />
rownames comm<strong>and</strong>, [P] matrix rownames<br />
score comm<strong>and</strong>, [P] matrix score<br />
svd comm<strong>and</strong>, [P] matrix svd<br />
symeigen comm<strong>and</strong>, [P] matrix symeigen<br />
vecaccum comm<strong>and</strong>, [P] matrix accum<br />
matrix, [M-4] intro, [M-6] Glossary<br />
dissimilarity, [MV] Glossary<br />
functions, [M-4] manipulation, [M-4] matrix,<br />
[M-4] solvers, [M-4] st<strong>and</strong>ard<br />
graphs, [G] graph matrix<br />
norm, [M-5] norm( )<br />
matrix, [M-2] declarations<br />
matrix,<br />
clear subcomm<strong>and</strong>, [D] clear<br />
confirm subcomm<strong>and</strong>, [P] confirm<br />
ereturn subcomm<strong>and</strong>, [P] ereturn<br />
graph subcomm<strong>and</strong>, [G] graph matrix<br />
return subcomm<strong>and</strong>, [P] return<br />
matrix() function, [D] functions, [P] matrix define<br />
matsave, [M-3] mata matsave<br />
matsize, [M-1] limits, [P] creturn, [P] macro,<br />
[U] 6.2.2 Advice on setting matsize,<br />
[U] 14 Matrix expressions<br />
matsize, set subcomm<strong>and</strong>, [R] matsize, [R] set<br />
matuniform() matrix function, [D] functions,<br />
[P] matrix define<br />
matuse, [M-3] mata matsave<br />
max(),<br />
built-in function, [D] functions<br />
egen function, [D] egen<br />
function, [M-5] minmax( )<br />
maxbyte() function, [D] functions<br />
maxdb, set subcomm<strong>and</strong>, [R] db, [R] set<br />
maxdouble() function, [D] functions,<br />
[M-5] mindouble( )<br />
maxes() option, [G] graph matrix<br />
maxfloat() function, [D] functions<br />
maximization, [M-5] moptimize( ), [M-5] optimize( )<br />
maximization technique explained, [R] maximize,<br />
[R] ml<br />
maximize, ml subcomm<strong>and</strong>, [R] ml<br />
maximum<br />
function, [D] egen, [D] functions<br />
length of string, [M-1] limits<br />
likelihood factor method, [MV] Glossary<br />
likelihood estimation, [MV] factor, [R] maximize,<br />
[R] ml, [TS] var, [TS] var intro, [TS] var svar,<br />
[TS] varbasic<br />
number of variables <strong>and</strong> observations, [D] describe,<br />
[D] memory, [U] 6 Setting the size of memory<br />
number of variables in a model, [R] matsize<br />
pseudolikelihood estimation, [SVY] ml for svy,<br />
[SVY] variance estimation<br />
restricted-likelihood, [XT] xtmixed<br />
size of dataset, [D] describe, [D] memory,<br />
[U] 6 Setting the size of memory<br />
size of matrix, [M-1] limits<br />
value dissimilarity measure, [MV] measure option<br />
maximums, [M-5] minindex( )<br />
maximums <strong>and</strong> minimums,<br />
creating dataset of, [D] collapse<br />
functions, [D] egen, [D] functions<br />
reporting, [R] lv, [R] summarize, [R] table<br />
maxindex() function, [M-5] minindex( )<br />
maxint() function, [D] functions<br />
maxiter, set subcomm<strong>and</strong>, [R] maximize, [R] set<br />
maxlong() function, [D] functions<br />
maxvar, set subcomm<strong>and</strong>, [D] memory, [R] set