Subject index - Stata

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26 Subject index distributions, examining, [D] pctile, [R] ameans, [R] centile, [R] kdensity, [R] mean, [R] pksumm, [R] summarize, [R] total income, [R] inequality plots, [R] cumul, [R] cusum, [R] diagnostic plots, [R] dotplot, [R] histogram, [R] kdensity, [R] ladder, [R] lv, [R] spikeplot, [R] stem standard population, [R] dstdize testing equality of, [R] ksmirnov, [R] kwallis, [R] ranksum, [R] signrank testing for normality, [MV] mvtest normality, [R] sktest, [R] swilk transformations to achieve normality, [R] boxcox, [R] ladder to achieve zero skewness, [R] lnskew0 disturbance term, [XT] Glossary division operator, see arithmetic operators divisive hierarchical clustering methods, [MV] cluster, [MV] Glossary DLL, [P] plugin Dmatrix() function, [M-5] Dmatrix( ) do command, [R] do, [U] 16 Do-files .do file, [U] 11.6 Filenaming conventions do . . . while, [M-2] do, [M-2] continue, [M-2] break dockable, set subcommand, [R] set dockingguides, set subcommand, [R] set documentation, [U] 1 Read this — it will help keyword search on, [R] search, [U] 4 Stata’s help and search facilities documenting data, [D] codebook, [D] labelbook, [D] notes docx*() functions, [M-5] docx*( ) doedit command, [R] doedit dofb() function, [D] datetime business calendars, [D] functions, [M-5] date( ) dofC() function, [D] datetime, [D] functions, [M-5] date( ) dofc() function, [D] datetime, [D] functions, [M-5] date( ) dofh() function, [D] datetime, [D] functions, [M-5] date( ) do-files, [P] break, [P] include, [P] version, [R] do, [U] 16 Do-files, [U] 18.2 Relationship between a program and a do-file adding comments to, [P] comments editing, [R] doedit long lines, [P] #delimit, [U] 18.11.2 Comments and long lines in ado-files dofm() function, [D] datetime, [D] functions, [M-5] date( ) dofq() function, [D] datetime, [D] functions, [M-5] date( ) dofw() function, [D] datetime, [D] functions, [M-5] date( ) dofy() function, [D] datetime, [D] functions, [M-5] date( ) domain sampling, [MV] alpha Doornik–Hansen normality test, [MV] mvtest normality dose–response models, [R] binreg, [R] glm, [R] logistic dot, graph subcommand, [G-2] graph dot graph twoway subcommand, [G-2] graph twoway dot dot plots, [G-2] graph dot, [G-2] graph twoway dot, [G-3] area options, [G-3] line options dotplot command, [R] dotplot dotted lines, [G-4] linepatternstyle double, [D] data types double (storage type), [U] 12.2.2 Numeric storage types double quotes, [P] macro doublebuffer, set subcommand, [R] set double-exponential smoothing, [TS] tssmooth dexponential double-precision floating point number, [U] 12.2.2 Numeric storage types doubly robust estimator, [TE] teffects intro, [TE] teffects intro advanced, [TE] teffects aipw, [TE] teffects ipwra, [TE] Glossary dow() function, [D] datetime, [D] functions, [M-5] date( ), [U] 24.5 Extracting components of dates and times doy() function, [D] datetime, [D] functions, [M-5] date( ) dp, set subcommand, [D] format, [R] set drawnorm command, [D] drawnorm drift, [TS] Glossary drop, classutil subcommand, [P] classutil cluster subcommand, [MV] cluster utility constraint subcommand, [R] constraint duplicates subcommand, [D] duplicates estimates subcommand, [P] estimates estimates subcommand, [R] estimates store forecast subcommand, [TS] forecast drop graph subcommand, [G-2] graph drop irf subcommand, [TS] irf drop label subcommand, [D] label macro subcommand, [P] macro mata subcommand, [M-3] mata drop matrix subcommand, [P] matrix utility notes subcommand, [D] notes program subcommand, [P] program return subcommand, [P] return scalar subcommand, [P] scalar serset subcommand, [P] serset drop command, [D] drop dropline, graph twoway subcommand, [G-2] graph twoway dropline dropout, [PSS] intro, [PSS] Glossary dropping graphs, [G-2] graph drop dropping programs, [P] discard dropping variables and observations, [D] drop ds command, [D] ds
Subject index 27 dsign() function, [M-5] dsign( ), [M-5] sign( ) dstdize command, [R] dstdize .dta file, [U] 11.6 Filenaming conventions .dta file extension, technical description, [P] file formats .dta .dtasig file, [U] 11.6 Filenaming conventions dual scaling, [MV] ca Duda and Hart index stopping rules, [MV] cluster stop dummy variables, see indicator variables, see indicators Duncan’s multiple-comparison adjustment, see multiple comparisons, Duncan’s method dunnettprob() function, [D] functions, [M-5] normal( ) Dunnett’s multiple comparison adjustment, see multiple comparisons, Dunnett’s method Dunnett’s multiple range distribution, cumulative, [D] functions inverse cumulative, [D] functions dup(#), display directive, [P] display duplicate observations, dropping, [D] duplicates identifying, [D] duplicates duplicates drop command, [D] duplicates examples command, [D] duplicates list command, [D] duplicates report command, [D] duplicates tag command, [D] duplicates duplicating clustered observations, [D] expandcl observations, [D] expand duplication matrix, [M-5] Dmatrix( ) duration analysis, see survival analysis Durbin–Watson statistic, [R] regress postestimation time series, [TS] prais durbinalt, estat subcommand, [R] regress postestimation time series Durbin’s alternative test, [R] regress postestimation time series dvech, mgarch subcommand, [TS] mgarch dvech dwatson, estat subcommand, [R] regress postestimation time series dyadic operator, [M-2] syntax, [M-6] Glossary dydx command, [R] dydx dynamic conditional-correlation model, [TS] mgarch, [TS] mgarch dcc dynamic factor model, [TS] dfactor, [TS] dfactor postestimation, also see state-space model dynamic forecast, [TS] arch, [TS] arfima, [TS] fcast compute, [TS] fcast graph, [TS] forecast, [TS] forecast adjust, [TS] forecast clear, [TS] forecast coefvector, [TS] forecast create, [TS] forecast describe, [TS] forecast drop, [TS] forecast estimates, [TS] forecast exogenous, [TS] forecast identity, [TS] forecast list, [TS] forecast query, [TS] forecast solve, [TS] mgarch, [TS] Glossary, [U] 20.20 Dynamic forecasts and simulations dynamic model, [XT] Glossary dynamic panel-data regression, [XT] xtabond, [XT] xtdpd, [XT] xtdpdsys dynamic regression model, [TS] arfima, [TS] arima, [TS] var dynamic structural simultaneous equations, [TS] var svar dynamic-multiplier function, [TS] irf, [TS] irf cgraph, [TS] irf create, [TS] irf ctable, [TS] irf ograph, [TS] irf table, [TS] var intro, [TS] Glossary .dynamicmv built-in class function, [P] class E e() function, [D] functions, [M-5] e( ) e() stored results, [P] ereturn, [P] estimates, [P] return, [R] stored results, [U] 18.8 Accessing results calculated by other programs, [U] 18.9 Accessing results calculated by estimation commands, [U] 18.10.2 Storing results in e() e(functions) macro extended function, [P] macro e(macros) macro extended function, [P] macro e(matrices) macro extended function, [P] macro e(sample) function, [D] functions, [P] ereturn, [P] return e(sample), resetting, [R] estimates save e(scalars) macro extended function, [P] macro EB, see empirical Bayes EBCDIC files, [D] filefilter, [D] infile (fixed format), [U] 21.2.9 If you have EBCDIC data e-class command, [P] program, [P] return, [R] stored results, [U] 18.8 Accessing results calculated by other programs economist scheme, [G-3] axis options, [G-4] scheme economist edit command, [D] edit edit, graphs, [G-1] graph editor editing ado-files and do-files, [R] doedit commands, [U] 10 Keyboard use data, [D] edit, [D] generate, [D] merge, [D] recode files while in Stata, [R] doedit output, [U] 15 Saving and printing output—log files editmissing() function, [M-5] editmissing( ) editmissing() function, [M-5] editmissing( ) edittoint() function, [M-5] edittoint( ) edittoint() function, [M-5] edittoint( ) edittointtol() function, [M-5] edittoint( ) edittointtol() function, [M-5] edittoint( ) edittozero() function, [M-5] edittozero( ) edittozero() function, [M-5] edittozero( ) edittozerotol() function, [M-5] edittozero( ) edittozerotol() function, [M-5] edittozero( ) editvalue() function, [M-5] editvalue( ) editvalue() function, [M-5] editvalue( ) EE estimator, see estimating-equation estimator
Page 1 and 2: Subject index Symbols ! (not), see
Page 3 and 4: Subject index 3 alternative, contin
Page 5 and 6: Subject index 5 autoregressive, con
Page 7 and 8: Subject index 7 biquartimax rotatio
Page 9 and 10: Subject index 9 c(maxstrvarlen) c-c
Page 11 and 12: Subject index 11 char, continued ma
Page 13 and 14: Subject index 13 cluster analysis,
Page 15 and 16: Subject index 15 colnames, matrix s
Page 17 and 18: Subject index 17 confidence interva
Page 19 and 20: Subject index 19 convergence, [SEM]
Page 21 and 22: Subject index 21 cross-sectional da
Page 23 and 24: Subject index 23 defective matrix,
Page 25: Subject index 25 direction of an ef
Page 29 and 30: Subject index 29 endogenous, contin
Page 31 and 32: Subject index 31 estat, continued m
Page 33 and 34: Subject index 33 experimental data,
Page 35 and 36: Subject index 35 files, continued c
Page 37 and 38: Subject index 37 frequencies, creat
Page 39 and 40: Subject index 39 ghessenbergd la()
Page 41 and 42: Subject index 41 graphs, continued
Page 43 and 44: Subject index 43 gsem option, conti
Page 45 and 46: Subject index 45 httpproxy, set sub
Page 47 and 48: Subject index 47 incidence-rate rat
Page 49 and 50: Subject index 49 invpoissontail() f
Page 51 and 52: Subject index 51 label values, [P]
Page 53 and 54: Subject index 53 lines, continued l
Page 55 and 56: Subject index 55 lower-triangular m
Page 57 and 58: Subject index 57 matmissing() funct
Page 59 and 60: Subject index 59 means, continued g
Page 61 and 62: Subject index 61 mindices, estat su
Page 63 and 64: Subject index 63 mreldifre() functi
Page 65 and 66: Subject index 65 nbinomialtail() fu
Page 67 and 68: Subject index 67 nonparametric anal
Page 69 and 70: Subject index 69 ocloglog option, s
Page 71 and 72: Subject index 71 outcomes, continue
Page 73 and 74: Subject index 73 pcorr command, [R]
Page 75 and 76: Subject index 75 postestimation com
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Subject index 77 probability of a t
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Subject index 79 quad precision, [M
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Subject index 81 rcap, graph twoway
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Subject index 83 reset, mi subcomma
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Subject index 85 robust, Huber/Whit
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Subject index 87 sample size, conti
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Subject index 89 sem command, [SEM]
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Subject index 91 set, cluster subco
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Subject index 93 snapshot, [D] snap
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Subject index 95 stability, [TS] va
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Subject index 97 stbase command, [S
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Subject index 99 Student’s t, dis
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Subject index 101 svy: mean command
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Subject index 103 tempfile command,
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Subject index 105 timer, continued
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Subject index 107 Tukey’s Student
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Subject index 109 use command, [D]
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Subject index 111 verifying data, [
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Subject index 113 xtcloglog command
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Subject index - Stata

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