当尝试对下面的数据集执行Beta回归时，我得到以下错误。 谁能告诉我如何处理这个错误？
提前致谢
Error in quantile.default(x$residuals) :
missing values and NaN's not allowed if 'na.rm' is FALSE
In addition: Warning message:
In sqrt(v * (1 - hatvalues(object))) : NaNs produced
码
model.beta = betareg(Percentage ~ Kuikenweek,data = dieet)
summary(model.beta)
数据
Jaar Kuikenweek Percentage Locatie
2013 Week 1 0,4238 Markenje
2013 Week -1 0,8248 Markenje
2013 Week 2 0,5927 Markenje
2013 Week -2 0,3208 Markenje
2013 Week 3 0,8317 Markenje
2013 Week -3 0,7314 Markenje
2014 Week 1 0,4624 Markenje
2014 Week 2 0,5224 Markenje
2014 Week -2 0,3528 Markenje
2014 Week 3 0,7739 Markenje
2014 Week -3 0,1264 Markenje
2015 Week -1 0,4516 Markenje
2015 Week -2 0,4306 Markenje
2015 Week -3 0,5243 Markenje
2013 Week 1 0,5117 Scheelhoek
2013 Week -1 0,1490 Scheelhoek
2013 Week 2 0,3342 Scheelhoek
2013 Week -2 0,5069 Scheelhoek
2013 Week 3 0,7101 Scheelhoek
2013 Week -3 0,8019 Scheelhoek
2013 Week 4 0,7569 Scheelhoek
2013 Week 5 0,9096 Scheelhoek
2013 Week 6 0,9013 Scheelhoek
2014 Week 1 0,5403 Scheelhoek
2014 Week -1 0,2264 Scheelhoek
2014 Week 2 0,5775 Scheelhoek
2014 Week 3 0,7366 Scheelhoek
2014 Week -3 0,4086 Scheelhoek
2014 Week 4 0,5750 Scheelhoek
2014 Week 5 0,6623 Scheelhoek
2015 Week 1 0,7758 Scheelhoek
2015 Week -1 0,1517 Scheelhoek
2015 Week 2 0,7587 Scheelhoek
2015 Week -2 0,3247 Scheelhoek
2015 Week 3 0,7463 Scheelhoek
2015 Week -3 0,6325 Scheelhoek
答案 0 :(得分：2)
我在这里重现你的错误：
# here are the data
devtools::source_gist("169bfa3a6c709fd2fd31c5bfa46648ee")
library(betareg)
# fix percentages
dieet$Percentage <- gsub(",",".",dieet$Percentage)
dieet$Percentage <- as.numeric(dieet$Percentage)
model.beta = betareg(Percentage ~ Kuikenweek,data = dieet)
summary(model.beta)
## Error in quantile.default(x$residuals) :
## missing values and NaN's not allowed if 'na.rm' is FALSE
## In addition: Warning message:
## In sqrt(v * (1 - hatvalues(object))) : NaNs produced
问题出现是因为默认残留类型“sweighted2”对您的模型不起作用。所以：
summary(model.beta, type = "deviance")
至少可以获得摘要。有几种类型的残差，哪一种最适合您的目的更多的是统计问题。