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我正在使用效果數據包來構造一些概率圖,顯示邏輯迴歸模型中的預測概率。但是,我收到一條奇怪的錯誤消息,不知道發生了什麼問題是。使用效果包時出現「下標越界」
當我嘗試生成圖時,出現以下錯誤。警告不是問題,這是我不明白錯誤信息告訴我什麼。
library(effects)
dat$won_ping = as.factor(dat$won_ping)
mod2 = glm(won_ping ~ our_bid +
age_of_oldest_driver2 +
credit_type2 +
coverage_type2 +
home_owner2 +
vehicle_driver_score +
currently_insured2 +
zipcode2,
data=dat, family=binomial(link="logit"))
> plot(effect("our_bid*vehicle_driver_score", mod2), rescale.axis=FALSE, multiline=TRUE)
Warning message:
In analyze.model(term, mod, xlevels, default.levels) :
our_bid:vehicle_driver_score does not appear in the model
Error in plot(effect("our_bid*vehicle_driver_score", mod2), rescale.axis = FALSE, :
error in evaluating the argument 'x' in selecting a method for function 'plot': Error in apply(mod.matrix[, components], 1, prod) :
subscript out of bounds
這裏是我的數據信息和我的命令GLM:
> str(dat)
'data.frame': 85240 obs. of 71 variables:
$ our_bid : num 155 123 183 98 108 159 98 123 98 200 ...
$ won_ping : Factor w/ 2 levels "0","1": 1 1 2 1 1 1 1 1 1 1 ...
$ zipcode2 : Factor w/ 4 levels "1:6999","10000:14849",..: 4 3 2 1 3 2 3 1 2 2 ...
$ age_of_oldest_driver2 : Factor w/ 4 levels "18 to 21","22 to 25",..: NA 3 NA NA NA NA 3 NA 3 NA ...
$ currently_insured2 : Factor w/ 2 levels "0","1": 2 1 2 2 1 1 2 2 1 1 ...
$ credit_type2 : Ord.factor w/ 4 levels "POOR"<"FAIR"<..: 2 3 2 3 2 2 1 3 3 2 ...
$ coverage_type2 : Factor w/ 4 levels "BASIC","MINIMUM",..: 4 3 3 3 3 3 3 3 4 3 ...
$ home_owner2 : Factor w/ 2 levels "0","1": 1 2 2 2 2 2 2 2 2 2 ...
$ vehicle_driver_score : Factor w/ 2 levels "0","1": 1 1 1 1 1 1 1 1 1 1 ...
最後,這裏可能是一些有用的信息:
> sessionInfo()
R version 2.14.0 (2011-10-31)
Platform: x86_64-pc-mingw32/x64 (64-bit)
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C LC_TIME=English_United States.1252
attached base packages:
[1] grid stats graphics grDevices utils datasets methods base
other attached packages:
[1] effects_2.2-1 colorspace_1.1-1 nnet_7.3-1 MASS_7.3-16 lattice_0.20-0 foreign_0.8-46
loaded via a namespace (and not attached):
[1] tools_2.14.0
幫助!什麼是錯誤信息的意思?通常情況下,如果「下標超出範圍」,這意味着我選擇的數據結構範圍之外的東西,但這根本不會發生。
編輯:
要@Rowland
正如我上面所說的,警告和錯誤消息是獨立的和不相關的。比方說,我拿出zipcode2和運行GLM:
mod2 = glm(won_ping ~ our_bid +
age_of_oldest_driver2 +
credit_type2 +
coverage_type2 +
home_owner2 +
vehicle_driver_score +
currently_insured2,
data=dat, family=binomial(link="logit"))
> plot(effect("our_bid*home_owner2", mod2), rescale.axis=FALSE, multiline=TRUE)
Warning message:
In analyze.model(term, mod, xlevels, default.levels) :
our_bid:home_owner2 does not appear in the model
這將產生只是警告,因爲我得到了想要的結果這是罰款。因此,「:」沒有出現在模型中的事實不是問題,並且不會導致錯誤消息。
你是對的,錯誤不直接從警告中跟蹤。不過,我仍然認爲他們可能有關係。如果包含交互,你是否能夠適應GLM? – Roland
是的,當我添加交互時運行良好。 – ATMathew