___ ____ ____ ____ ____ ® /__ / ____/ / ____/ 18.0 ___/ / /___/ / /___/ SE—Standard Edition Statistics and Data Science Copyright 1985-2023 StataCorp LLC StataCorp 4905 Lakeway Drive College Station, Texas 77845 USA 800-STATA-PC https://www.stata.com 979-696-4600 stata@stata.com Stata license: 10-user network perpetual Serial number: 1 Licensed to: Stata Developer StataCorp LLC Notes: 1. Stata is running in batch mode. 2. Unicode is supported; see help unicode_advice. 3. Maximum number of variables is set to 5,000 but can be increased; see help set_maxvar. Running /home/krg/bin/profile.do ... Compile number 180110 . do sl6.do . /* NIST/ITL StRD > > ANOVA > > Difficulty=Average n_i=2001 k=9 Generated > > Dataset Name: Simon-Lesage6 (Simon-Lesage6.dat) > > > Procedure: Analysis of Variance > > > Reference: Simon, Stephen D. and Lesage, James P. (1989). > "Assessing the Accuracy of ANOVA Calculations in > Statistical Software". > Computational Statistics & Data Analysis, 8, pp. 325-332. > > > Data: 1 Factor > 9 Treatments > 2001 Replicates/Cell > 18009 Observations > 7 Constant Leading Digits > Average Level of Difficulty > Generated Data > > > Model: 10 Parameters (mu,tau_1, ... , tau_9) > y_{ij} = mu + tau_i + epsilon_{ij} > > > Certified Values: > > Source of Sums of Mean > Variation df Squares Squares F Statist > ic > > Between Treatment 8 1.60080000000000E+02 2.00100000000000E+01 > 2.00100000000000E+03 > Within Treatment 18000 1.80000000000000E+02 1.00000000000000E-02 > > Certified R-Squared 4.70712773465067E-01 > > Certified Residual > Standard Deviation 1.00000000000000E-01 > */ . . clear . . scalar N = 18009 . scalar df_r = 18000 . scalar df_m = 8 . . scalar mss = 160.08 . scalar F = 2001 . scalar rss = 180 . scalar r2 = 4.70712773465067E-01 . scalar rmse = 0.1 . . qui input byte treat double resp . . anova resp treat Number of obs = 18,009 R-squared = 0.4707 Root MSE = .1 Adj R-squared = 0.4705 Source | Partial SS df MS F Prob>F -----------+---------------------------------------------------- Model | 160.08 8 20.01 2001.00 0.0000 | treat | 160.08 8 20.01 2001.00 0.0000 | Residual | 180 18,000 .01 -----------+---------------------------------------------------- Total | 340.08 18,008 .01888494 . . assert N == e(N) . assert df_r == e(df_r) . assert df_m == e(df_m) . . lrecomp e(F) F e(rmse) rmse e(r2) r2 e(mss) mss e(rss) rss e(F) 10.2 e(rmse) 10.6 e(r2) 10.5 e(mss) 9.9 e(rss) 10.3 . end of do-file