Description Format Source Examples
The PBIB
data frame has 60 rows and 3 columns.
This data frame contains the following columns:
a numeric vector
a factor with levels 1
to 15
an ordered factor with levels 1
to 15
Littel, R. C., Milliken, G. A., Stroup, W. W., and Wolfinger, R. D. (1996), SAS System for Mixed Models, SAS Institute (Data Set 1.5.1).
1 2 3 4 5 6 7 |
'data.frame': 60 obs. of 3 variables:
$ response : num 2.4 2.5 2.6 2 2.7 2.8 2.4 2.7 2.6 2.8 ...
$ Treatment: Factor w/ 15 levels "1","10","11",..: 7 15 1 5 11 13 14 1 2 1 ...
$ Block : Factor w/ 15 levels "1","10","11",..: 1 1 1 1 8 8 8 8 9 9 ...
- attr(*, "ginfo")=List of 7
..$ formula :Class 'formula' language response ~ Treatment | Block
.. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
..$ order.groups: logi TRUE
..$ FUN :function (x)
..$ outer : NULL
..$ inner : NULL
..$ labels : list()
..$ units : list()
Linear mixed model fit by REML ['lmerMod']
Formula: response ~ Treatment + (1 | Block)
Data: PBIB
REML criterion at convergence: 51.9849
Random effects:
Groups Name Std.Dev.
Block (Intercept) 0.2157
Residual 0.2925
Number of obs: 60, groups: Block, 15
Fixed Effects:
(Intercept) Treatment1 Treatment10 Treatment11 Treatment12 Treatment13
2.891311 -0.073789 -0.400249 0.007388 0.161510 -0.273542
Treatment14 Treatment15 Treatment2 Treatment3 Treatment4 Treatment5
-0.400000 -0.032078 -0.485996 -0.436368 -0.107481 -0.086413
Treatment6 Treatment7 Treatment8
0.019383 -0.102326 -0.109706
Analysis of Variance Table
Df Sum Sq Mean Sq F value
Treatment 14 1.834 0.131 1.5312
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