现在,可以计算基尼系数以获得有关不平等的一些信息 > gini=function(x){ + mu=mean(x) + g=2/(n*(n-1)*mu)*sum((1:n)*sort(x))-(n+1)/(n-1) 1. 2. 3. 4. 实际上,没有任何置信区间的系数可能毫无意义。计算置信区间,我们使用boot方法 > G=boot(income,gini,1000) > hist(G,col="li...
Mostra 4 in più Description Converts objects containing decision tree results to a rpart object. Usage Copia ## S3 method for class `rxDTree': as.rpart (x, ...) Arguments x object of class rxDTree. ... additional arguments (currently not used). Details This function converts an...
This function was modified from path.tree in S. 也可以看看 rpart 相关用法 R predict.rpart 根据拟合的 Rpart 对象进行预测 R printcp 显示拟合 Rpart 对象的 CP 表 R print.rpart 打印 Rpart 对象 R post.rpart Rpart 对象的 PostScript 演示图 R plot.rpart 绘制 Rpart 对象 R prune.rpar...
tree1 = train (y = training$def, x = training[, -which(colnames(training) =="def")], method ="rpart", tuneLength=20, metric="ROC", trControl = fitControl) summary(tree1$finalModel)# This still results in Error: could not find function "predict.rpart":model.tree1 <- predict.r...
问R如何使用Rpart和tree确定可能的最大树EN传统的ID3和C4.5一般用于分类问题，其中ID3使用信息增益进行...
count_result <- function(result,data_test){ n <- length(result) count_right <- 0 i <- 1 for (i in 1:n){ if (result[i]==data_test[i,17]){ count_right = count_right+1 } } print(count_right/n) } 1. 2. 3. 4.
The rpart code was written in a modular fashion with the idea that the C code would be extended to include more splitting functions. As a consequence all of the splitting functions are coordinated through a single structure in the file func_table.h, shown below: static struct { int (*...
问Caret和rpart定义方法ENThe Data Incubator 中，有着最新的数据科学（data science）课程。其中大部分...
pathpred <- function(object, ...) { ## coerce to "party" object if necessary if(!inherits(object, "party")) object <- as.party(object) ## get standard predictions (response/prob) and collect in data frame rval <- data.frame(response = predict(object, type = "response", ...)) ...
> # interval using round function to show only two digits: > round(c(MD, MD + c(-1,1) * qnorm(1-(0.05/2)) * seMD), 2) [1] -7.23 -21.11 6.65 这里可以看到,95% 置信区间的均值差、下限和上限与手动公式计算出来的是一致的。也可以使用 R 中meta包的 metacont 函数来计算均值差和置...