一、数值型 numeric
# 数值型 numeric
a <- c(2,-2,9.55)
b <- c(4,1,-6.2)class(a)
[1] "numeric"
计算
# 四舍五入
round(a,1)
[1] 2.0 -2.0 9.6abs(a) # 绝对值
[1] 2.00 2.00 9.55sqrt(a) # 开平方
sd(a) # 求标准差a*b # 乘
a / b # 除
a %% b # 余
a %/% b # 整除a**b # 求幂
[1] 1.600000e+01 -2.000000e+00 8.394196e-07
a^b # 求幂
[1] 1.600000e+01 -2.000000e+00 8.394196e-07# 求相关系数
cor(a, b)
二、字符型 character
# 字符型 character
c <- c("ffk","atc","GAt","uuu")
class(c)
[1] "character"
计算
install.packages("tidyverse")
library(stringr)str_count(c,"f") # 计数
str_sub(c, 1, 3) # 按位置提取
[1] "ffk" "atc" "GAt" "uuu"
str_subset(c,"c") # 提取含“c”的元素
[1] "atc"
str_length(c) # 长度
[1] 3 3 3 3
str_replace_all(c, 'f', 'F') # 替换所有
[1] "FFk" "atc" "GAt" "uuu"
str_to_lower(c) # 转小写
[1] "ffk" "atc" "gat" "uuu"str_c(c('chr1', 'chr2', 'chr3', 'chr4'), c, sep = ':') # 连接
[1] "chr1:ffk" "chr2:atc" "chr3:GAt" "chr4:uuu"str_split(c, '', simplify = T) # 拆分[,1] [,2] [,3]
[1,] "f" "f" "k"
[2,] "a" "t" "c"
[3,] "G" "A" "t"
[4,] "u" "u" "u"
ustr_sort(c) # 排序
[1] "atc" "ffk" "GAt" "uuu"
三、逻辑型 logical
# 逻辑型 logical
x <- c(T, F, T)
y <- c(F, F, F)
class(x)
[1] "logical"
计算
x & y # 与
x && y # 与x | y # 或(向量)
x || y # 或(单元素)!x # 非all(x) # 所有都为真?
any(x) # 至少有一个为真?
