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📄 graph_other.hlp

📁 是一个经济学管理应用软件 很难找的 但是经济学学生又必须用到
💻 HLP
字号:
{smcl}
{* 23mar2005}{...}
{cmd:help graph other}
{hline}
{* index other graph commands}{...}
{* index symmetry plots}{...}
{* index quantile plots}{...}
{* index normal probability plots}{...}
{* index chi-squared probability and quantile plots}{...}
{* index quantiles-quantiles plots}{...}
{* index ladder-of-powers plots}{...}
{* index rootograms}{...}
{* index kernel density smoothing}{...}
{* index lowess smoothing}{...}
{* index added-variable plots}{...}
{* index leverage plots}{...}
{* index leverage plots}{...}
{* index component-plus-residual plots}{...}
{* index L-R plots}{...}
{* index residual-versus-fitted and residual-versus-predicted plots}{...}
{* index diagnostic plots}{...}
{* index correlograms}{...}
{* index periodograms}{...}
{* index periodograms}{...}
{* index spectral distribution plots, cumulative}{...}
{* index forecasts}{...}
{* index impulse response functions (IRF)}{...}
{* index variance decompositions (FEVD)}{...}
{* index vector autoregression (VAR)}{...}
{* index survivor functions}{...}
{* index hazard functions}{...}
{* index survival analysis}{...}
{* index quality control plots}{...}
{* index ROC analysis}{...}
{* index time-series plots}{...}
{* index regression diagnostic plots}{...}
{* index smoothing}{...}
{* index density smoothing}{...}
{* index distributional diagnostic plots}{...}
{* index cusum plots}{...}
{* index C charts}{...}
{* index P charts}{...}
{* index R charts}{...}
{* index X-bar charts}{...}
{* index standard error bar charts}{...}
{* index dendrograms}{...}
{* index pharmacokinetic plots}{...}

{title:Title}

{p2colset 5 24 26 2}{...}
{p2col :{hi:[G] graph other} {hline 2}}Other graphics commands{p_end}
{p2colreset}{...}


{title:Syntax}

{pstd}
Distributional diagnostic plots:

{p2colset 9 31 33 2}{...}
{p2col :command}description{p_end}
{p2line}
{p2col :{helpb histogram}}histograms{p_end}
{p2col :{helpb diagnostic plots:symplot}}symmetry plots{p_end}
{p2col :{helpb diagnostic plots:quantile}}quantile plots{p_end}
{p2col :{helpb diagnostic plots:qnorm}}quantile{hline 1}normal plots{p_end}
{p2col :{helpb diagnostic plots:pnorm}}normal probability plots, standardized{p_end}
{p2col :{helpb diagnostic plots:qchi}}chi-squared quantile plots{p_end}
{p2col :{helpb diagnostic plots:pchi}}chi-squared probability plots{p_end}
{p2col :{helpb diagnostic plots:qqplot}}quantile{hline 1}quantile plots{p_end}

{p2col :{helpb gladder}}ladder-of-powers plots{p_end}
{p2col :{helpb qladder}}ladder-of-powers quantiles{p_end}

{p2col :{helpb spikeplot}}spikeplots and rootograms{p_end}
{p2col :{helpb dotplot}}means or medians by group{p_end}
{p2col :{helpb sunflower}}density-distribution sunflower plots{p_end}
{p2line}

{pstd}
Smoothing and densities:

{p2col :command}description{p_end}
{p2line}
{p2col :{helpb kdensity}}kernel density estimation, univariate{p_end}
{p2col :{helpb lowess}}lowess smoothing{p_end}
{p2line}

{pstd}
Regression diagnostics:

{p2col :command}description{p_end}
{p2line}
{p2col :{helpb avplot}}added-variable (leverage) plots{p_end}
{p2col :{helpb cprplot}}component-plus-residual plots{p_end}
{p2col :{helpb lvr2plot}}L-R (leverage versus squared residual) plots{p_end}
{p2col :{helpb rvfplot}}residual-versus-fitted plots{p_end}
{p2col :{helpb rvpplot}}residual-versus-predicted plots{p_end}
{p2line}

{pstd}
Time series:

{p2col :command}description{p_end}
{p2line}
{p2col :{helpb ac}}correlograms{p_end}
{p2col :{helpb pac}}partial correlograms{p_end}
{p2col :{helpb pergram}}periodograms{p_end}
{p2col :{helpb cumsp}}spectral distribution plots, cumulative{p_end}
{p2col :{helpb xcorr}}cross-correlograms for bivariate time series{p_end}
{p2col :{helpb wntestb}}Bartlett's periodogram-based white-noise test{p_end}
{p2line}

{pstd}
Vector autoregression (VAR, SVAR, VECM):

{p2col :command}description{p_end}
{p2line}
{p2col :{helpb fcast graph}}{cmd:var}, {cmd:svar}, and {cmd:vec} forecasts{p_end}
{p2col :{helpb varstable}}eigenvalues of the companion matrix after {cmd:var} and {cmd:svar}{p_end}
{p2col :{helpb vecstable}}eigenvalues of the companion matrix after {cmd:vec}{p_end}
{p2col :{helpb irf graph}}impulse-response functions (IRFs) and forecast-error variance decompositions (FEVDs){p_end}
{p2col :{helpb irf ograph}}overlaid IRFs and FEVDs{p_end}
{p2col :{helpb irf cgraph}}combined IRFS and FEVDs{p_end}
{p2line}

{pstd}
Longitudinal/Panel data:

{p2col :command}description{p_end}
{p2line}
{p2col :{helpb xtline}}panel data line plots{p_end}
{p2line}

{pstd}
Survival analysis:

{p2col :command}description{p_end}
{p2line}
{p2col :{helpb sts:sts graph}}survivor and cumulative-hazard functions{p_end}
{p2col :{helpb strate}}failure rates and cumulative hazard comparisons{p_end}
{p2col :{helpb ltable}}life tables{p_end}
{p2col :{helpb stci}}means and percentiles of survival time, with CIs{p_end}
{p2col :{helpb stphplot}}log-log plots{p_end}
{p2col :{helpb stcoxkm}}Kaplan{hline 1}Meier observed surial curves{p_end}
{p2col :{helpb estat phtest}}verify proportional hazards assumption{p_end}
{p2col :{helpb stcurve}}survivor, hazard, and cumulative hazard functions{p_end}
{p2line}

{pstd}
ROC analysis:

{p2col :command}description{p_end}
{p2line}
{p2col :{helpb rocfit_postestimation##roctab:roctab}}ROC curve{p_end}
{p2col :{helpb rocfit_postestimation##rocplot:rocplot}}parametric ROC curve{p_end}
{p2col :{helpb rocfit_postestimation##roccomp:roccomp}}multiple ROC curves, compared{p_end}
{p2col :{helpb logistic_postestimation##lroc:lroc}}ROC curve after {cmd:logistic}{p_end}
{p2col :{helpb logistic_postestimation##lsens:lsens}}sensitivity and specificity versus probability cutoff{p_end}
{p2line}

{pstd}
Multivariate analysis:

{p2col:command}description{p_end}
{p2line}
{p2col:{helpb biplot}}biplot{p_end}
{p2col :{helpb cluster dendrogram}}dendrograms for hierarchical cluster analysis{p_end}
{p2col:{helpb screeplot}}scree plot of eigenvalues{p_end}
{p2col:{helpb scoreplot}}factor or component score plot{p_end}
{p2col:{helpb loadingplot}}factor or component loading plot{p_end}
{p2col:{helpb procoverlay}}Procrustes overlay plot{p_end}
{p2col:{helpb cabiplot}}correspondence analysis biplot{p_end}
{p2col:{helpb caprojection}}correspondence analysis dimension projection plot{p_end}
{p2col:{helpb mdsconfig}}multidimensional scaling configuration plot{p_end}
{p2col:{helpb mdsshepard}}multidimensional scaling Shepard plot{p_end}
{p2line}

{pstd}
Quality-control charts:

{p2col :command}description{p_end}
{p2line}
{p2col :{helpb cusum}}cusum plots{p_end}
{p2col :{helpb cchart}}C charts{p_end}
{p2col :{helpb pchart}}P charts{p_end}
{p2col :{helpb rchart}}R charts{p_end}
{p2col :{helpb xchart}}X-bar charts{p_end}
{p2col :{helpb shewhart}}X-bar charts, vertically aligned{p_end}
{p2col :{helpb serrbar}}standard error bar charts{p_end}
{p2line}

{pstd}
Other statistical graphs:

{p2col :command}description{p_end}
{p2line}
{p2col :{helpb tabodds}}odds-of-failure versus categories{p_end}
{p2col :{helpb pkexamine}}summarize pharmacokinetic data{p_end}
{p2line}
{p2colreset}{...}


{title:Description}

{pstd}
In addition to {cmd:graph}, there are many other commands that draw graphs.
These are listed above.


{title:Remarks}

{pstd}
The other graph commands are implemented in terms of {cmd:graph}, which
provides the following capabilities:

{p2colset 9 35 37 2}{...}
{p2col :command}description{p_end}
{p2line}
{p2col :{helpb graph bar}}bar charts{p_end}
{p2col :{helpb graph pie}}pie charts{p_end}
{p2col :{helpb graph dot}}dot charts{p_end}
{p2col :{helpb graph matrix}}scatterplot matrices{p_end}
{p2col :{helpb graph twoway}}twoway ({it:y}-{it:x}) graphs, including{p_end}
{p2col 11 37 39 2:{helpb graph twoway scatter}}scatterplots{p_end}
{p2col 11 37 39 2:{helpb graph twoway line}}line plots{p_end}
{p2col 11 37 39 2:{helpb graph twoway function}}function plots{p_end}
{p2col 11 37 39 2:{helpb graph twoway histogram}}histograms{p_end}
{p2col 11 37 39 2:{helpb twoway:graph twoway *}}more{p_end}
{p2line}
{p2colreset}{...}


{title:Also see}

{psee}
Manual:  {bf:[G] graph other}

{psee}
Online:  {helpb graph intro}
{p_end}

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