___ ____ ____ ____ ____ (R) /__ / ____/ / ____/ ___/ / /___/ / /___/ 16.0 Copyright 1985-2019 StataCorp LLC Statistics/Data Analysis StataCorp 4905 Lakeway Drive Special Edition College Station, Texas 77845 USA 800-STATA-PC http://www.stata.com 979-696-4600 stata@stata.com 979-696-4601 (fax) 10-user Stata network perpetual license: 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 5000; see help set_maxvar. running /home/krg/bin/profile.do ... Compile number 785 . do sl8.do . /* NIST/ITL StRD benchmark > > ANOVA > > Difficulty=Higher n_i=201 k=9 Generated > > Dataset Name: Simon-Lesage8 (Simon-Lesage8.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 > 201 Replicates/Cell > 1809 Observations > 13 Constant Leading Digits > Higher 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 Statis > tic > > Between Treatment 8 1.60800000000000E+01 2.01000000000000E+00 > 2.01000000000000E+02 > Within Treatment 1800 1.80000000000000E+01 1.00000000000000E-02 > > Certified R-Squared 4.71830985915493E-01 > > Certified Residual > Standard Deviation 1.00000000000000E-01 > */ . . clear . . scalar N = 1809 . scalar df_r = 1800 . scalar df_m = 8 . . scalar mss = 16.08 . scalar F = 201 . scalar rss = 18 . scalar r2 = 4.71830985915493E-01 . scalar rmse = 0.1 . . qui input byte treat double resp . . anova resp treat Number of obs = 1,809 R-squared = 0.4718 Root MSE = .100003 Adj R-squared = 0.4695 Source | Partial SS df MS F Prob>F -----------+---------------------------------------------------- Model | 16.081781 8 2.0102226 201.01 0.0000 | treat | 16.082036 8 2.0102545 201.01 0.0000 | Residual | 18.001128 1,800 .01000063 -----------+---------------------------------------------------- Total | 34.082909 1,808 .01885117 . . 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) 4.3 e(rmse) 4.5 e(r2) 4.6 e(mss) 4.0 e(rss) 4.2 . end of do-file