A dataset containing 160 measurements of paper smoothness across five different material groups. This data was originally reported by Lashof and Mandel (1960) and is used in Exploratory Data Analysis to illustrate heteroscedasticity and the need for re-expression.
Format
A data.frame with 160 rows and 3 variables:
- Lab
Lab that measured the smoothness.
- Material
The material group identifier.
- Smoothness
The measured smoothness of the paper using the Bekk method.
Source
Mandel, J. (1964). The Statistical Analysis of Experimental Data. New York: Wiley. (Data from Table 13.3, p. 325).
References
Hoaglin, D. C., Mosteller, F., & Tukey, J. W. (1991). Fundamentals of Exploratory Analysis of Variance. Wiley.
Examples
M0 <- eda_mean_sweep(feav13_1, Smoothness, Lab,Material,p =0, base=10, max_order = 2)
#> Warning: Power transformation (eda_re) not applied as its definition is missing.
plot(M0)
eda_anova_table(M0)
#> Effect SS df MS F p
#> 1 Common 390.7042135 1 3.907042e+02 NA NA
#> 2 Lab 0.1961390 3 6.537966e-02 27.37374 5.420466e-14
#> 3 Material 54.8089942 4 1.370225e+01 5736.97904 4.372050e-154
#> 4 Lab:Material 0.1392811 12 1.160676e-02 4.85962 1.175348e-06
#> 5 Residual 0.3343772 140 2.388408e-03 NA NA