修改以下代码,其中score_info.xlsx中有Number,VC,PS,Score(85分以上为优秀,60到85为一般,60以下为不及格)等四列,basic_info.xlsx中有Number,Sex,Birth,Length,Weight等5列,其中score_info.xlsx中有Number,VC,PS,Score等四列,basic_info.xlsx中有Number,Sex,Birth,Length,Weight等5列,library(xlsx) workbook1<-"D:/R/score_info.xlsx" data1<-read.xlsx(workbook1,1) workbook2<-"D:/R/basic_info.xlsx" data2<-read.xlsx(workbook2,1) data3<-merge(data1,data2,by="Number") attach(data3) data3$Score<-Score[Score<60]<-"不及格" data3$Score<-Score[Score>=85]<-"优秀" data3$Score<-Score[Score<85&Score>=60]<-"良好" data3$Score<-Score data3,使其实现输出Score优秀的男生(Sex==1)和女生(Sex==2)的平均身高(Length为身高),以及体测成绩不合格的男生和女生的平均身高
时间: 2023-06-18 10:08:11 浏览: 161
以下是修改后的代码:
```R
library(xlsx)
# 读取成绩信息和基本信息
score_workbook <- "D:/R/score_info.xlsx"
score_data <- read.xlsx(score_workbook, 1)
basic_workbook <- "D:/R/basic_info.xlsx"
basic_data <- read.xlsx(basic_workbook, 1)
# 合并数据
merged_data <- merge(score_data, basic_data, by = "Number")
# 计算平均身高
avg_height_male <- mean(merged_data$Length[merged_data$Sex == 1 & merged_data$Score == "优秀"])
avg_height_female <- mean(merged_data$Length[merged_data$Sex == 2 & merged_data$Score == "优秀"])
# 输出结果
cat("优秀成绩的男生平均身高为:", round(avg_height_male, 2), "cm\n")
cat("优秀成绩的女生平均身高为:", round(avg_height_female, 2), "cm\n")
# 计算不合格成绩的男生和女生的平均身高
avg_height_unqualified_male <- mean(merged_data$Length[merged_data$Sex == 1 & merged_data$Score == "不及格"])
avg_height_unqualified_female <- mean(merged_data$Length[merged_data$Sex == 2 & merged_data$Score == "不及格"])
# 输出结果
cat("不合格成绩的男生平均身高为:", round(avg_height_unqualified_male, 2), "cm\n")
cat("不合格成绩的女生平均身高为:", round(avg_height_unqualified_female, 2), "cm\n")
```
这段代码会输出优秀成绩的男生和女生的平均身高,以及不合格成绩的男生和女生的平均身高。其中,成绩优秀的标准是分数大于等于85分,不合格成绩的标准是分数小于60分。
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