我在R中使用ROCR包。 但我收到错误“预测(预测,标签): 预测格式无效。“
请告诉我解决方案。
这是代码:
install.packages("ROCR", dependencies=TRUE)
install.packages("vcd", dependencies=TRUE)
library(ROCR)
library(vcd)
library(boot)
setwd("/Users/Documents/R")
presence <- read.csv("sampleAverages.csv")
background <- read.csv("amplePredictions.csv")
pp <- presence$Logistic.prediction # get the column of predictions
testpp <- pp[presence$Test.or.train=="test"] # select only test points
trainpp <- pp[presence$Test.or.train=="train"] # select only train points
bb <- background$logistic
combined <- c(testpp, bb) # combine into a single vector
label <- c(rep(1,length(testpp)),rep(0,length(bb))) # labels: 1=present, 0=random
pred <- prediction(combined, label) # labeled predictions
perf <- performance(pred, "tpr", "fpr") # True / false positives, for ROC curve
plot(perf, colorize=TRUE) # Show the ROC curve
performance(pred, "auc")@y.values[[1]] # Calculate the AUC
答案 0 :(得分:0)
这可能是因为你有错误的数据类。尝试将预测数据修改为一个列,如合并[,2]或标签[,2]
答案 1 :(得分:0)
检查两个对象的类(标签和组合),你注意到它们不一样。然后,您可以使用 dimRid&lt; - combined [,1]
将具有不同维度的一个进行子集化