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8 [G] graph twoway lowess . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Local linear smooth plots [G] graph twoway lpoly . . . . . . . . . . . . . . . . . . . . . . . . . . . . Local polynomial smooth plots [G] graph twoway lpolyci . . . . . . . . . . . . . . . . . . Local polynomial smooth plots with CIs [G] graph twoway mband . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Twoway median-band plots [G] graph twoway mspline . . . . . . . . . . . . . . . . . . . . . . . . . . . . Twoway median-spline plots [G] graph twoway pcarrow . . . . . . . . . . . . . . . . . . . . . . . Paired-coordinate plot with arrows [G] graph twoway pcarrowi . . . . . . . . . . . . . . Twoway pcarrow with immediate arguments [G] graph twoway pccapsym . . . . Paired-coordinate plot with spikes and marker symbols [G] graph twoway pci . . . . . . . . Twoway paired-coordinate plot with immediate arguments [G] graph twoway pcscatter . . . . . . . . . . . . . . . . . . . . . Paired-coordinate plot with markers [G] graph twoway pcspike . . . . . . . . . . . . . . . . . . . . . . . . Paired-coordinate plot with spikes [G] graph twoway qfit . . . . . . . . . . . . . . . . . . . . . . . . . . Twoway quadratic prediction plots [G] graph twoway qfitci . . . . . . . . . . . . . . . . . Twoway quadratic prediction plots with CIs [G] graph twoway rarea . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Range plot with area shading [G] graph twoway rbar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Range plot with bars [G] graph twoway rcap . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Range plot with capped spikes [G] graph twoway rcapsym . . . . . . . Range plot with spikes capped with marker symbols [G] graph twoway rconnected . . . . . . . . . . . . . . . . . . . . . . Range plot with connected lines [G] graph twoway rline . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Range plot with lines [G] graph twoway rscatter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Range plot with markers [G] graph twoway rspike . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Range plot with spikes [G] graph twoway scatter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Twoway scatterplots [G] graph twoway scatteri . . . . . . . . . . . . . . . . . . . . . . . . Scatter with immediate arguments [G] graph twoway spike . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Twoway spike plots [G] graph twoway tsline . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Twoway line plots [G] graph use . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Display graph stored on disk [R] histogram . . . . . . . . . . . . . . . . . . . Histograms for continuous and categorical variables [G] palette . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Display palettes of available selections Distributional graphs [R] diagnostic plots . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Distributional diagnostic plots [R] ladder . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Ladder of powers [R] spikeplot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Spike plots and rootograms Multivariate graphs [MV] biplot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Biplots [MV] ca postestimation . . . . . . . . . . . . . . . . . . . . . . . . Postestimation tools for ca and camat [MV] cluster dendrogram . . . . . . . . . . . . . . . . . Dendrograms for hierarchical cluster analysis [MV] mca postestimation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Postestimation tools for mca [MV] mds postestimation . . . . . . . . . . . . Postestimation tools for mds, mdsmat, and mdslong [MV] scoreplot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Score and loading plots [MV] screeplot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Scree plot Quality control [R] cusum . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Graph cumulative spectral distribution [R] qc . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Quality control charts [R] serrbar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Graph standard error bar chart Regression diagnostic plots [R] regress postestimation . . . . . . . . . . . . . . . . . . . . . . . . . . Postestimation tools for regress
9 ROC analysis [R] logistic postestimation . . . . . . . . . . . . . . . . . . . . . . . . . . Postestimation tools for logistic [R] roc . . . . . . . . . . . . . . . . . . . . . . . . . . . . Receiver operating characteristic (ROC) analysis [R] rocfit postestimation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Postestimation tools for rocfit Smoothing and densities [R] kdensity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Univariate kernel density estimation [R] lowess . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Lowess smoothing [R] lpoly . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Kernel-weighted local polynomial smoothing [R] sunflower . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Density-distribution sunflower plots Survival-analysis graphs [ST] ltable . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Life tables for survival data [ST] stci . . . . . . . . . . . . . . Confidence intervals for means and percentiles of survival time [ST] stcox PH-assumption tests . . . . . . . . . . . . . . . Tests of proportional-hazards assumption [ST] stcurve . . . Plot survivor, hazard, cumulative hazard, or cumulative incidence function [ST] strate . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Tabulate failure rates and rate ratios [ST] sts graph . . . . . . . . . . . . . . . . . . . . Graph the survivor and cumulative hazard functions Time-series graphs [TS] corrgram . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Tabulate and graph autocorrelations [TS] cumsp . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Cumulative spectral distribution [TS] fcast graph . . . . . . . . . . . . . . Graph forecasts of variables computed by fcast compute [TS] irf cgraph . . . . . Combine graphs of IRFs, dynamic-multiplier functions, and FEVDs [TS] irf graph . . . . . . . . . . . . . . . . . Graph IRFs, dynamic-multiplier functions, and FEVDs [TS] irf ograph . . . . . . . . . Graph overlaid IRFs, dynamic-multiplier functions, and FEVDs [TS] pergram . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Periodogram [TS] tsline . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Plot time-series data [TS] wntestb . . . . . . . . . . . . . . . . . . . . . . . Bartlett’s periodogram-based test for white noise [TS] xcorr . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Cross-correlogram for bivariate time series More statistical graphs [R] dotplot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Comparative scatterplots [ST] epitab . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Tables for epidemiologists [R] fracpoly postestimation . . . . . . . . . . . . . . . . . . . . . . . . Postestimation tools for fracpoly [R] grmeanby . . . . . . . . . . . . . . . . . . . . Graph means and medians by categorical variables [R] pkexamine . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Calculate pharmacokinetic measures [R] pksumm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Summarize pharmacokinetic data [R] stem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Stem-and-leaf displays [XT] xtline . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Panel-data line plots Editing [G] graph editor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Graph Editor Graph utilities [G] set graphics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Set whether graphs are displayed [G] set printcolor . . . . . . . . . . . . . . . . Set how colors are treated when graphs are printed [G] set scheme . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Set default scheme
Page 1 and 2: STATA QUICK REFERENCE AND INDEX REL
Page 3: i Table of contents Combined subjec
Page 6 and 7: 2 Inputting and saving data [GS] Ch
Page 8 and 9: 4 [D] changeeol . . . . . . . . . .
Page 10 and 11: 6 [R] estimates title . . . . . . .
Page 14 and 15: 10 Graph schemes [G] schemes intro
Page 16 and 17: 12 [MV] clustermat . . . . . . . .
Page 18 and 19: 14 [MV] scoreplot . . . . . . . . .
Page 20 and 21: 16 [R] mprobit . . . . . . . . . .
Page 22 and 23: 18 Nonparametric statistics [R] kde
Page 24 and 25: 20 [R] predict . . . . . . . . . .
Page 26 and 27: 22 [TS] tsreport . . . . . . . . .
Page 28 and 29: 24 [P] fvexpand . . . . . . . . . .
Page 30 and 31: 26 Mata [M] Mata Reference Manual .
Page 32 and 33: Title estimation commands — Quick
Page 34 and 35: 30 estimation commands — Quick re
Page 40 and 41: Title format — Quick reference fo
Page 42 and 43: Title missing values — Quick refe
Page 44 and 45: 40 postestimation commands — Quic
Page 52 and 53: Title prefix commands — Quick ref
Page 54 and 55: Title reading data — Quick refere
Page 57 and 58: Title Acronym glossary 2SIV 2SLS 3S
Page 59 and 60: Acronym glossary 55 IC ICD-9 IIA i.
Page 61 and 62: Acronym glossary 57 QDA QML rc RCT
Page 63 and 64:
Vignettes index 59 Vignettes index
Page 65 and 66:
Author index 61 Author index A Aale
Page 67 and 68:
Author index 63 Blackburne III, E.
Page 69 and 70:
Author index 65 Conover, W. J., [R]
Page 71 and 72:
Author index 67 Feinleib, M., [XT]
Page 73 and 74:
Author index 69 Green, P. E., [MV]
Page 75 and 76:
Author index 71 Hipel, K. W., [TS]
Page 77 and 78:
Author index 73 Klein, J. P., [ST]
Page 79 and 80:
Author index 75 Lu, J. Y., [TS] pra
Page 81 and 82:
Author index 77 Muirhead, R. J., [M
Page 83 and 84:
Author index 79 Ponce de Leon, A.,
Page 85 and 86:
Author index 81 Schonlau, M., [R] g
Page 87 and 88:
Author index 83 ter Bogt, T., [MV]
Page 89 and 90:
Author index 85 Wichern, D. W., con
Page 91 and 92:
Subject index 87 Subject index ! (n
Page 93 and 94:
Subject index 89 args command, [P]
Page 95 and 96:
Subject index 91 bias corrected and
Page 97 and 98:
Subject index 93 c(minbyte) c-class
Page 99 and 100:
Subject index 95 choice models, con
Page 101 and 102:
Subject index 97 cointegration, con
Page 103 and 104:
Subject index 99 constrained estima
Page 105 and 106:
Subject index 101 cumsp command, [T
Page 107 and 108:
Subject index 103 describe, continu
Page 109 and 110:
Subject index 105 DLL, [P] plugin D
Page 111 and 112:
Subject index 107 end-of-line chara
Page 113 and 114:
Subject index 109 estat, continued
Page 115 and 116:
Subject index 111 FEVD, [TS] Glossa
Page 117 and 118:
Subject index 113 fsave, window sub
Page 119 and 120:
Subject index 115 graph, continued
Page 121 and 122:
Subject index 117 Harrell’s C, [S
Page 123 and 124:
Subject index 119 Im-Pesaran-Shin t
Page 125 and 126:
Subject index 121 invfft() function
Page 127 and 128:
Subject index 123 label values, [P]
Page 129 and 130:
Subject index 125 loading, [MV] Glo
Page 131 and 132:
Subject index 127 markers, [G] mark
Page 133 and 134:
Subject index 129 mband, graph twow
Page 135 and 136:
Subject index 131 missing data, [MI
Page 137 and 138:
Subject index 133 mvdecode command,
Page 139 and 140:
Subject index 135 number to string
Page 141 and 142:
Subject index 137 parameter trace f
Page 143 and 144:
Subject index 139 polytomous logist
Page 145 and 146:
Subject index 141 proportions, [R]
Page 147 and 148:
Subject index 143 rc built-in varia
Page 149 and 150:
Subject index 145 return, [M-2] ret
Page 151 and 152:
Subject index 147 RVI, see relative
Page 153 and 154:
Subject index 149 set, continued fa
Page 155 and 156:
Subject index 151 Sneath and Sokel
Page 157 and 158:
Subject index 153 Stata, continued
Page 159 and 160:
Subject index 155 stset command for
Page 161 and 162:
Subject index 157 svy: truncreg com
Page 163 and 164:
Subject index 159 tests, continued
Page 165 and 166:
Subject index 161 truncating real n
Page 167 and 168:
Subject index 163 variables, contin
Page 169 and 170:
Subject index 165 weights, continue
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