leadership

https://www.mindtools.com/pages/main/newMN_LDR.htm

 

https://www.mindtools.com/pages/article/leadership-mistakes.htm

 

 

http://www.lxws.net/blog/post/122.html

 

http://www.renrendoc.com/p-218690.html

 

 

http://wenku.baidu.com/link?url=evIh7zxENmzMcgTJ1O-XZbmQPQvFexpLv-dTo4w-8kAKWTjEs7EWnz9TF4v1RTvHV84iyRUsM6hI0llIMC-uZLMLBR-jdP8RleYGO5-Qjt7

 

 

https://www.washingtonpost.com/news/on-leadership/wp/2014/08/19/how-to-show-leadership-even-if-you-arent-the-leader/

 

 

错误于eval(e, x, parent.frame()): 找不到对象'age'library(readxl) leadership <- read_excel("C:/Users/Administrator/Desktop/Rwork/问卷.xls") leadership names(leadership)[names(leadership) == "date of enter"] <- "entry" leadership # 2. 查找年龄异常均值插 abnormal_age <- leadership$age > 100 | leadership$age < 18 # 双向检查 mean_age <- mean(leadership$age, na.rm = TRUE) leadership$age[abnormal_age] <- mean_age leadership # 添加 agecat leadership$agecat <- ifelse( leadership$age < 35, "young", ifelse(leadership$age <= 55, "middle aged", "elder") ) leadership$agecat <- as.factor(leadership$agecat) leadership View(leadership) # 5. 删除缺失值 newdata <- na.omit(leadership) newdata # 6. 添加 seniority excel_origin <- as.Date("1899-12-30") # Excel 日期起点 entry_date <- excel_origin + leadership$entry current_year <- as.numeric(format(Sys.Date(), "%Y")) entry_year <- as.numeric(format(entry_date, "%Y")) leadership$seniority <- current_year - entry_year leadership # 7. 排序 leadership <- leadership[order(leadership$age), ] leadership <- leadership[order(leadership$gender, leadership$age), ] leadership # 合并 additon <- read_excel("C:/Users/Administrator/Desktop/Rwork/addition.xls") leadership <- merge(leadership, additon, by = "manager", all.x = TRUE) leadership names(leadership) # 导入 additon2 并合并 additon2 <- read_excel("C:/Users/Administrator/Desktop/Rwork/addition2.xls") leadership <- merge(leadership, additon2, by = "manager", all.x = TRUE) names(leadership) # 筛选 30 岁以上男性 newdata2 <- subset(leadership, age > 30 & gender == "M") newdata2
11-22
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