sessionInfo() 查看R中载入的包和版本

writeLines(capture.output(sessionInfo()), "sessionInfo.txt")

sink("sessionInfo.txt")
sessionInfo()
sink()

data.frame 动态确定列名称

var <- "mpg"

#Doesn\'t work
mtcars$var

#These both work, but note that what they return is different
# the first is a vector, the second is a data.frame
mtcars[[var]]
mtcars[var]

data.frame 列命名

R> X <- data.frame(bad=1:3, worse=rnorm(3))
R> X
  bad     worse
1   1 -2.440467
2   2  1.320113
3   3 -0.306639
R> colnames(X) <- c("good", "better")
R> X
  good    better
1    1 -2.440467
2    2  1.320113
3    3 -0.306639

R> colnames(X)[2] <- "superduper"

seq(from = 1, to = 1, by = ((to - from)/(length.out - 1)),
    length.out = NULL, along.with = NULL, ...)

举例----------Examples----------
seq(0, 1, length.out=11)
seq(stats::rnorm(20)) # 
seq(1, 9, by = 2)     # 
seq(1, 9, by = pi)    # 
seq(1, 6, by = 3)
seq(1.575, 5.125, by=0.05)
seq(17) # same as 1:17, or even better seq_len(17)

Loops

The most commonly used loop structures in R are for, while and apply loops. Less common are repeat loops. The break function is used to break out of loops, and next halts the processing of the current iteration and advances the looping index.

保存为Tab分隔的txt文件：

write.table(y, file = paste("Day",a, " ",k, ".txt", sep=""), sep = "\t",row.names=FALSE)

data.frame 添加一行：
First, we create a one-row data frame with the new data:

> newRow <- data.frame(city="West Dundee", county="Kane", state="IL", pop=5428)

Next, we use the rbind function to append that one-row data frame to our existing data frame:

> suburbs <- rbind(suburbs, newRow)

data.frame 添加一列：

my.dataframe$new.col <- a.vector

my.dataframe[, "new.col"] <- a.vector

my.dataframe["new.col"] <- a.vector

df <- data.frame(b = runif(6), c = rnorm(6))
cbind(a = 0, df)

data <- read.table(header=TRUE, text=\'
id weight
  1     20
  2     27
  3     24
\')

# Ways to add a column
data$size      <- c("small", "large", "medium")
data[["size"]] <- c("small", "large", "medium")
data[,"size"]  <- c("small", "large", "medium")
data$size      <- 0   # Use the same value (0) for all rows


# Ways to remove the column
data$size      <- NULL
data[["size"]] <- NULL
data[,"size"]  <- NULL
data[[3]]      <- NULL
data[,3]       <- NULL
data           <- subset(data, select=-size)

flush.console()

options(stringsAsFactors=FALSE)

A simple function to remove leading and trailing whitespace:

trim <- function( x ) {
  gsub("(^[[:space:]]+|[[:space:]]+$)", "", x)
}

Usage:

> text = "   foo bar  baz 3 "
> trim(text)
[1] "foo bar  baz 3"


在R中合并某一数据框的两列数据
需要解决的问题，需要将某一个数据框的两列值合并为一列。
在R中合并某一数据框的两列数据
浏览示例数据
> mtcars
安装tidyr包，之后加载tidyr包
> library(tidyr)
执行命令
> tidyr::unite(mtcars, "vs_am", vs, am)
将 vs 和 am 两列数据合并后，原数据列被删除了（如果想保留原数据列则通过 remove = FALSE 参数控制），新增了 vs_am 列，得到的结果如下。
在R中合并某一数据框的两列数据
个性化合并
如果在合并时想自定义连接符，可以通过参数 sep 控制，运行
> unite(mtcars, "vs_am", vs, am, sep = "ZSF", remove = FALSE)
得到的结果如下，新增 vs_am 列，连接符为 ZSF，原数据列 vs 和 am 得以保存。