plants | R Documentation |
Five variables, being one continuous to use as outcome
(Weight
), and four factors, of which two (Rep
and
PLANT
) are used as clusters for the random effects of a
singular linear mixed model (Weight ~ 1 + (1|Rep:PLANT)
).
data("plants")
A data frame with 536 observations on the following 5 variables.
Line
a factor with levels Line1
Line10
Line11
Line12
Line13
Line14
Line15
Line16
Line17
Line18
Line19
Line2
Line20
Line21
Line22
Line23
Line24
Line25
Line26
Line27
Line28
Line29
Line3
Line30
Line31
Line32
Line33
Line34
Line35
Line36
Line37
Line38
Line39
Line4
Line40
Line41
Line42
Line43
Line44
Line45
Line46
Line47
Line48
Line49
Line5
Line50
Line51
Line52
Line53
Line54
Line55
Line56
Line57
Line58
Line59
Line6
Line60
Line61
Line62
Line63
Line64
Line65
Line66
Line67
Line7
Line8
Line9
Rep
a factor with levels 1
2
Weight
a numeric vector
PLANT
a factor with levels 1
2
3
4
X
a factor with levels 24
12
21
11
13
14
22
23
lme4 error: boundary (singular) fit: see ?isSingular
data(plants)
str(plants)
library(lme4)
fit <- lmer(Weight ~ 1 + (1|PLANT:Rep), data = plants)
summary(fit)
fit2 <- dwmw(fit)
summary(fit2)
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