Untitled

R Markdown

This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.

When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:

summary(cars)

##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
##  1st Qu.:12.0   1st Qu.: 26.00  
##  Median :15.0   Median : 36.00  
##  Mean   :15.4   Mean   : 42.98  
##  3rd Qu.:19.0   3rd Qu.: 56.00  
##  Max.   :25.0   Max.   :120.00

Including Plots

You can also embed plots, for example:

Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot. # 加载必要的库 library(ggplot2) library(lubridate) library(gridExtra)

假设数据框名为 df，列名为 global_active_power, voltage, sub_metering_1, sub_metering_2, sub_metering_3 和 datetime

df <- read.csv(“your_data.csv”)

df\(datetime <- as.POSIXct(df\)datetime)

绘制多个时间序列图

p1 <- ggplot(df, aes(x = datetime, y = global_active_power)) + geom_line() + labs(title = “Global Active Power”, x = “datetime”, y = “Global Active Power”) + theme_minimal()

p2 <- ggplot(df, aes(x = datetime, y = voltage)) + geom_line() + labs(title = “Voltage”, x = “datetime”, y = “Voltage”) + theme_minimal()

p3 <- ggplot(df, aes(x = datetime)) + geom_bar(aes(y = sub_metering_1), stat = “identity”, fill = “grey”, position = “dodge”) + geom_bar(aes(y = sub_metering_2), stat = “identity”, fill = “red”, position = “dodge”) + geom_bar(aes(y = sub_metering_3), stat = “identity”, fill = “blue”, position = “dodge”) + labs(title = “Energy sub metering”, x = “datetime”, y = “Energy sub metering”) + theme_minimal()

p4 <- ggplot(df, aes(x = datetime, y = global_reactive_power)) + geom_line() + labs(title = “Global Reactive Power”, x = “datetime”, y = “Global reactive power”) + theme_minimal()

将四个图组合在一起

grid.arrange(p1, p2, p3, p4, ncol = 2)