___ ____ ____ ____ ____ ® /__ / ____/ / ____/ 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 sl5.do . /* NIST/ITL StRD > > ANOVA > > Difficulty=Average n_i=201 k=9 Generated > > Dataset Name: Simon-Lesage5 (Simon-Lesage5.dat) > > > File Format: ASCII > Certified Values (lines 41 to 47) > Data (lines 61 to 1869) > > > 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 > 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 Statisti > c > > 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 = .1 Adj R-squared = 0.4695 Source | Partial SS df MS F Prob>F -----------+---------------------------------------------------- Model | 16.08 8 2.01 201.00 0.0000 | treat | 16.08 8 2.01 201.00 0.0000 | Residual | 18 1,800 .01 -----------+---------------------------------------------------- Total | 34.08 1,808 .01884956 . . 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