英文:
joint_tests doesn't recognize asin.sqrt transformation via make.tran()
问题
我有以下的虚拟模型
tran = make.tran("asin.sqrt", 100)
mod <- with(tran,
lm(linkfun(cty) ~ manufacturer + drv * linkfun(hwy), data = mpg))
但是，我无法使用以下代码获得ANOVA表格
joint_tests(mod)
Error in ratios && true.con && misc$tran %in% c("log", "log2", "log10", :
'length = 5' in coercion to 'logical(1)'
emmeans识别了转换，如以下网址详细说明：https://cran.r-project.org/web/packages/emmeans/vignettes/transformations.html
emmeans(mod, ~ manufacturer, type = "response")
manufacturer response SE df lower.CL upper.CL
audi 15.0 0.258 214 14.4 15.5
chevrolet 16.1 0.240 214 15.7 16.6
dodge 16.2 0.216 214 15.8 16.6
ford 16.6 0.223 214 16.2 17.1
honda 17.4 0.390 214 16.7 18.2
hyundai 16.1 0.289 214 15.5 16.7
jeep 16.5 0.362 214 15.8 17.2
land rover 15.2 0.480 214 14.2 16.1
lincoln 15.7 0.634 214 14.4 16.9
mercury 16.0 0.479 214 15.1 17.0
nissan 16.8 0.289 214 16.2 17.3
pontiac 14.8 0.423 214 14.0 15.7
subaru 16.9 0.356 214 16.2 17.6
toyota 16.9 0.206 214 16.5 17.3
volkswagen 16.5 0.248 214 16.0 17.0
Results are averaged over the levels of: drv
Confidence level used: 0.95
Intervals are back-transformed from the asin(sqrt(mu/100)) scale
如何解决这个问题？感谢您的帮助。
英文:
I have the following dummy model
tran = make.tran("asin.sqrt", 100)
mod <- with(tran,
lm(linkfun(cty) ~ manufacturer + drv * linkfun(hwy), data = mpg))
but, I cannot get the ANOVA table with
joint_tests(mod)
Error in ratios && true.con && misc$tran %in% c("log", "log2", "log10", :
'length = 5' in coercion to 'logical(1)'
emmeans does recognize the transformation, as detailed in <https://cran.r-project.org/web/packages/emmeans/vignettes/transformations.html>.
emmeans(mod, ~ manufacturer, type = "response")
manufacturer response SE df lower.CL upper.CL
audi 15.0 0.258 214 14.4 15.5
chevrolet 16.1 0.240 214 15.7 16.6
dodge 16.2 0.216 214 15.8 16.6
ford 16.6 0.223 214 16.2 17.1
honda 17.4 0.390 214 16.7 18.2
hyundai 16.1 0.289 214 15.5 16.7
jeep 16.5 0.362 214 15.8 17.2
land rover 15.2 0.480 214 14.2 16.1
lincoln 15.7 0.634 214 14.4 16.9
mercury 16.0 0.479 214 15.1 17.0
nissan 16.8 0.289 214 16.2 17.3
pontiac 14.8 0.423 214 14.0 15.7
subaru 16.9 0.356 214 16.2 17.6
toyota 16.9 0.206 214 16.5 17.3
volkswagen 16.5 0.248 214 16.0 17.0
Results are averaged over the levels of: drv
Confidence level used: 0.95
Intervals are back-transformed from the asin(sqrt(mu/100)) scale
How can I get around this issue? Thanks for stopping by.
答案1
得分: 1
这是一个已经被最近修复以供将来在emmeans中更新的已知错误。
英文:
This is a known bug that has been recently fixed for future updates in emmeans.
通过集体智慧和协作来改善编程学习和解决问题的方式。致力于成为全球开发者共同参与的知识库，让每个人都能够通过互相帮助和分享经验来进步。
评论