Question

我正在尝试生成一个R markdown文档，其中包含由ggplot2和corrplot图形组成的代码块以及使用摘要函数的摘要统计信息。

但是，只要我尝试使用以下代码块生成R降价文档

## Nurse Bed (fine; see notes)

summary(df3$nurseBed)
summary(df4$nurseBed)
summary(df5$nurseBed)
summary(d$nurseBed)

hist(d$nurseBed, col = "orange", main = "Before Exterme/Outlier Value is Removed")

tail(sort(d$nurseBed),10)

outlier <- d[which(d$nurseBed > 40),]                                     #     identify 
outlier <- d[which(d$nurseBed > 40),c("Code","Year","Period","nurseBed")] #     the outlier 
                                                                          #      and  remove it
d[c(101,265),"nurseBed"] <- NA

hist(d$nurseBed, col = "pink", main = "After Exterme/Outlier Value is Removed")
boxplot(d$nurseBed, col = "pink", main = "Box Plot for Nurse Bed ratio after the outlier/extreme values")

tail(sort(d$nurseBed),10)
summary(d$nurseBed)
IQR(d$nurseBed, na.rm = TRUE)

# Identify the extreme values for nursebed ratio after the removal

select(d, Code, Trust, Year, Specialists, nurseBed) %>%
  filter(nurseBed > 4.2) %>%
  arrange(nurseBed)

plot(df3$nurseBed, df3$TFPscore, main = "Nurse Bed Ratio and Productivity", xlab = "TFP", ylab = "Nurse Bed",
 col = "blue")
cor(df3$nurseBed, df3$TFPscore, use = "complete.obs")
plot(df3[df3$Specialists==0,]$nurseBed, df3[df3$Specialists==0,]$TFPscore, 
 main = "Nurse Bed Ratio and Productivity excluding Specialists", xlab = "TFP", ylab = "Nurse Bed",
 col = "red")
cor(df3[df3$Specialists==0,]$nurseBed, df3[df3$Specialists==0,]$TFPscore, use = "complete.obs")

# Revert to original data 

d <- df[df$Year %in% c("2010/11", "2011/12", "2012/13"),]

它显示以下错误消息：

退出第1715-1757行（test.Rmd） hist.default出错（d $ nurseBed，col =“orange”，main =“删除Exterme / Outlier值之前”）： 'x'必须是数字电话：... withVisible - ＆gt; eval - ＆gt; eval - ＆gt; hist - ＆gt; hist.default 另外：有50个或更多警告（使用警告（）查看前50个）执行暂停

请原谅我，如果我的问题很天真，但我是R markdown的新手，我在其他来源寻求帮助，但无济于事

普通R控制台中的代码可以正常工作。

Rmarkdown中的错误

0 个答案: