I've been struggling with this issue for a long time, but I cannot seem to find an answer that fits my problem, no matter how much I google it. So here goes:
I ran a mixed model using lmer:
respH
Hi,
you can try to use the "texreg" package:
# example
library(lme4)
library(texreg)
fm1
Say for CRD
feed the data in three columns as replication, treatment and yield as in SPSS or Minitab or Excel.
Then the commands are
> rbd names(rbd)
[1] "yield" "treatment" "replication"
> rbd$treatment rbd$replication model anova(model)
Analysis of Variance Table
Response: yield
Df Sum Sq Mean Sq F value Pr(>F)
treatment 5 1198331 239666 2.1678 0.012809 *
replication 3 1944361 648120 5.8622 0.007416 **
Residuals 15 1658376 110558
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
> comparison comparison
$statistics
Mean CV MSerror LSD
4959.583 6.704258 110558.4 501.1364
$parameters
Df ntr t.valuealpha test name.t
15 6 2.13145 0.05 Fisher-LSD treatment
$means
yield std r LCL UCL Min Max
t1 5124.00 320.2093 4 4769.643 5478.357 4678 5398
t2 5070.25 736.4185 4 4715.893 5424.607 4264 5952
t3 5304.25 411.6515 4 4949.893 5658.607 4749 5713
t4 4847.75 321.9900 4 4493.393 5202.107 4410 5164
t5 4708.00 188.4958 4 4353.643 5062.357 4432 4848
t6 4703.25 497.3941 4 4348.893 5057.607 4098 5254
$comparison
NULL
$groups
trt means M
1 t3 5304.25 a
2 t1 5124.00 ab
3 t2 5070.25 ab
4 t4 4847.75 ab
5 t5 4708.00 b
6 t6 4703.25 b
Hello Mondane,
In addition to the excellent suggestions given already, I might note that two freely available statistical software packages, both built on R, offer high quality, formatted output tables: Jamovi and JASP (there is some communality in developers, so the two packages do share a number of features).
Good luck with your work.
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