/* NIST StRD benchmark from http://www.nist.gov/itl/div898/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 Statistic
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
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end
anova resp treat
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