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I know when working with the emmeans package I can make comparism between many lines and check variety. that is the aim is to select all lines that out perform the check. But I don't know how to achieve this using your pacakge. Thank you very much for writing this package. Merry Christmas and Happy New Year in Advance.
Here is an example of what I want to achieve:
Load Packages
library(tidyverse)
library(agridat) # To get the omer.sorghum dataset
library(lmerTest)
library(emmeans)
library(biometryassist)
Model
model <- lmer(yield ~ gen + env+(1 | rep), data = omer.sorghum)
summary(model)
test <- anova(model, ddf = "Kenward-Roger", type = 3)
test
I know when working with the emmeans package I can make comparism between many lines and check variety. that is the aim is to select all lines that out perform the check. But I don't know how to achieve this using your pacakge. Thank you very much for writing this package. Merry Christmas and Happy New Year in Advance.
Here is an example of what I want to achieve:
Load Packages
library(tidyverse)
library(agridat) # To get the omer.sorghum dataset
library(lmerTest)
library(emmeans)
library(biometryassist)
Model
model <- lmer(yield ~ gen + env+(1 | rep), data = omer.sorghum)
summary(model)
test <- anova(model, ddf = "Kenward-Roger", type = 3)
test
Good day all,
I know when working with the emmeans package I can make comparism between many lines and check variety. that is the aim is to select all lines that out perform the check. But I don't know how to achieve this using your pacakge. Thank you very much for writing this package. Merry Christmas and Happy New Year in Advance.
Here is an example of what I want to achieve:
Load Packages
library(tidyverse)
library(agridat) # To get the omer.sorghum dataset
library(lmerTest)
library(emmeans)
library(biometryassist)
Model
model <- lmer(yield ~ gen + env+(1 | rep), data = omer.sorghum)
summary(model)
test <- anova(model, ddf = "Kenward-Roger", type = 3)
test
Post Hoc Test
comparisons.G18 <- emmeans(model, specs = trt.vs.ctrl ~ gen, ref = 18)
#str(comparisons.G18)
#names(comparisons.G18)
comparisons.G18
comparisons.G18$contrasts # Get the contrast
comparisons.G18$contrasts %>%
as_tibble() %>%
arrange(desc(estimate))
This does not work
multiple_comparisons(model.obj = model,classify = 'gen',specs = trt.vs.ctrl ~ gen, ref = 18)
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