R错误:x[[jj]]中的错误<;-v:运行函数时,尝试在integrationindex中选择少于一个元素
当我尝试在测试数据集上运行以下函数代码段时,我看到了上述错误:R错误:x[[jj]]中的错误<;-v:运行函数时,尝试在integrationindex中选择少于一个元素,r,function,R,Function,当我尝试在测试数据集上运行以下函数代码段时,我看到了上述错误: df <- data.frame(id=c(1,2,3,4), actual=c(0,1,0,1), score=c(.7223,.8904,.0037,.0025), prediction=c(1,0,0,1), black=c(.6476,.0534,.0702,NA), hispanic=c(.1406,.8262,.0645,NA), asian=c(.1100,.0141,.7930
df <- data.frame(id=c(1,2,3,4), actual=c(0,1,0,1), score=c(.7223,.8904,.0037,.0025), prediction=c(1,0,0,1),
black=c(.6476,.0534,.0702,NA), hispanic=c(.1406,.8262,.0645,NA), asian=c(.1100,.0141,.7930,NA),
white=c(.0444,.0740,.0056,NA), female=c(0,1,0,1), male=c(1,0,1,0), weight=c(.1755,.8101,.1332,.6420))
adverse_impact_ratio <- function (
data_frame,
lower_outcome_favorable,
outcome,
true_outcome,
pg_names,
cg_names,
sample_weight,
air_threshold
) {
data <- data_frame
if (is.null(sample_weight)) {
data['sample_weight'] <- 1
sample_weight <- 'sample_weight'
}
if (lower_outcome_favorable) {
data[outcome] <- 1 - data[outcome]
if (!is.null(true_outcome)) {
data[true_outcome] <- 1 - data[true_outcome]
}
}
}
adverse_impact_ratio(
df,
1,
df$score,
df$actual,
pg_names=c('black', 'hispanic', 'asian', 'female'),
cg_names=c('white', 'white', 'white', 'male'),
df$weight,
0.9)
df尝试:
非常感谢。我从来没有想到问题是缺少引号!在最后一个功能括号前添加“返回(数据)”
adverse_impact_ratio(
df,
1,
"score",
"actual",
pg_names=c('black', 'hispanic', 'asian', 'female'),
cg_names=c('white', 'white', 'white', 'male'),
df$weight,
0.9)