Graph 计算R中的AUC（GAM）
我使用以下脚本计算R中的AUC：Graph 计算R中的AUC（GAM）,graph,r,Graph,R,我使用以下脚本计算R中的AUC： library(mgcv) library(ROCR) library(AUC) data1=read.table("d:\\2005.txt", header=T) GAM<-gam(tuna ~ s(chla)+s(sst)+s(ssha)+s(eke), family=binomial, data=data1) gampred<- predict(GAM, type="response") rp <- prediction(gamp
library(mgcv)
library(ROCR)
library(AUC)
data1=read.table("d:\\2005.txt", header=T)
GAM<-gam(tuna ~ s(chla)+s(sst)+s(ssha)+s(eke), family=binomial, data=data1)
gampred<- predict(GAM, type="response")
rp <- prediction(gampred, data1$tuna)
auc <- performance( rp, "auc")@y.values[[1]]
auc
roc <- performance( rp, "tpr", "fpr")
plot( roc )
您的data1数据帧被弄乱了。看看str（）给了你什么：
> str(data1)
'data.frame': 100 obs. of 1 variable:
$ x.y.chla.sst.ssha.eke.tuna: Factor w/ 311 levels "140.01178,44.666668,0.21406905,19.939999,6.931947586,213.8725429,87",..: 3 2 1 6 5 4 9 8 7 12 ...
read.table编辑评论：我还认为，大多数人接触AUC工具真的不了解它提供了什么。它的使用似乎比它应有的要频繁得多。如果您提供一个数据集，我们可以用它来复制您的错误，这可能会很有帮助。我猜我如何提供数据集？
dput（data1）structure(list(x.y.chla.sst.ssha.eke.tuna = structure(c(3L,
2L, 1L, 6L, 5L, 4L, 9L, 8L, 7L, 12L, 11L, 10L, 17L, 16L, 15L,
14L, 13L, 23L, 22L, 21L, 20L, 19L, 18L, 29L, 28L, 27L, 26L, 25L,
24L, 34L, 33L, 32L, 31L, 30L, 39L, 38L, 37L, 36L, 35L, 44L, 43L,
42L, 41L, 40L, 49L, 48L, 47L, 46L, 45L, 54L, 53L, 52L, 51L, 50L,
57L, 56L, 55L, 60L, 59L, 58L, 63L, 62L, 61L, 66L, 65L, 64L, 69L,
68L, 67L, 72L, 71L, 70L, 75L, 74L, 73L, 76L, 79L, 78L, 77L, 82L,
81L, 80L, 85L, 84L, 83L, 88L, 87L, 86L, 91L, 90L, 89L, 94L, 93L,
92L, 97L, 96L, 95L, 98L, 101L, 100L), .Label = c("140.01178,44.666668,0.21406905,19.939999,6.931947586,213.8725429,87",
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), class = "factor")), .Names = "x.y.chla.sst.ssha.eke.tuna", row.names = c(NA,
100L), class = "data.frame")
> str(data1)
'data.frame': 100 obs. of 1 variable:
$ x.y.chla.sst.ssha.eke.tuna: Factor w/ 311 levels "140.01178,44.666668,0.21406905,19.939999,6.931947586,213.8725429,87",..: 3 2 1 6 5 4 9 8 7 12 ...