最新R软件期末考试复习提纲
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#期末考试专项复习
#一、矩阵与数据框
#1.生成特定的矩阵与数据框
#矩阵
#方法一
a=array(1:10,dim=c(2,5))
rownames(a)=1:2
colnames(a)=c("one","two","three","four","five")
a
dimnames(a)=list(1:2,c("one","two","three","four","five")) nrow=nrow(a)
ncol=ncol(a)
dim(a)
#方法二
a=matrix(1:10,nrow=2,byrow=F)
rownames(a)=1:2
colnames(a)=c("one","two","three","four","five")
a=matrix(1:10,nrow=2,byrow=F,
dimnames=list(1:2,c("one","two","three","four","five"))
)
#数据框的生成
df=data.frame(
Name=c("Alice","Becka","James","Jeffrey","John"),
Sex=c("F","F","M","M","M"),
Age=c(13,13,12,13,12),
Height=c(56.5,65.3,57.3,62.5,59.0),
Weight=c(84.0,98.0,83.0,84.0,99.5)
);df
Lst=list(Name=c("Alice","Becka","James","Jeffrey","John"), Sex=c("F","F","M","M","M"),
Age=c(13,13,12,13,12),
Height=c(56.5,65.3,57.3,62.5,59.0),
Weight=c(84.0,98.0,83.0,84.0,99.5))
Lst
Lst[["Name"]]
Lst["Name"]
Lst[1]
Lst[[1]]
Lst$Name
df=as.data.frame(Lst)
df
x=array(1:6,dim=c(2,3))
as.data.frame(x)
#数据框的引用
df[1:2,3:5]
df[["Height"]]
df$Weight
names(df)#此属性一定非空
rownames(df)=c("one","two","three","four","five") df
attach(df)
r=Height/Weight
r
df$r=r
names(df)
detach()
r=Height/Weight
#2.矩阵的运算
a=diag(1:3)
a[2][1]=1
a
#1转置运算
t(a)
#2行列式
det(a)
#3向量内积
x=1:5
y=2*1:5
x%*%y
t(x)%*%y
crossprod(x,y)
#4向量的外积
x%*%t(y)
tcrossprod(x,y)
outer(x,y)
x%o%y
#矩阵的乘法
a=array(1:9,dim=c(3,3))
b=array(9:1,dim=c(3,3))
x=1:3
a*b
a%*%b
x%*%a%*%x
crossprod(a,b)#t(a)%*%b
tcrossprod(a,b)#a%*%t(b)
#矩阵的逆
solve(a)
b=1:3
solve(a,b)#ax=b的解
#矩阵的特征值与特征向量
sm=eigen(a)
sm
e=diag(1:3)
svde=svd(e)
svde
attach(svde)
u%*%diag(d)%*%t(v)
#与矩阵运算有关的函数
#取维数
a=diag(1:4)
nrow(a)
ncol(a)
#矩阵的合并
x1=rbind(c(1,2),c(3,4))
x2=x1+10
x3=cbind(x1,x2)
x3
x4=rbind(x1,x2)
x4
cbind(1,x1)
#矩阵的拉直
a=matrix(1:6,ncol=2,
dimnames=list(c("one","two","three"),
c("first","second")),byrow=T)
as.vector(a)
#apply函数
apply(a,1,mean)
apply(a,2,sum)
tapply(1:5,factor(c("f","f","m","m","m")),mean) #第二题
#产生随机数
x=rnorm(100,0,1)
x
#画随机数的直方图
hist(x,freq=F)
#核密度曲线
density(x)