常用S-Plus函数

1、常用S-Plus函数用随机数建立一个数据框x<-data.frame(R1=rnorm(200),R2=2+rnorm(200)*2)对数据框中的变量画直方图histogram(varname,data=dataframeneme,nint=20 #bar的数量 ,tpye="count"#计数，默认为百分比)对向量做直方图histogram(vectorname)x <- rnorm(100)ks <- ksmooth(x, kernel = "normal", bandwidth = bandwidth.nrd(x)hist(x,

2、prob = T, ylab = "Density",xlab="概率密度估计曲线",xlab.size=30, col =105)lines(ks$x, ks$y, col = 6, lwd = 3)1 数据操作处理函数attach() 调入数据name.cols 列名numCols 返回列数numRows 返回行数mean 均值median 中值max 最大值min 最小值stdev 标准差var() 方差协方差cor() 相关系数sum 求和prod 求乘积colMeans(x, na.rm=F, dims=1)colSums(x, na.rm=F

3、, dims=1)colVars(x, na.rm=F, dims=1, unbiased=T, SumSquares=F)colStdevs(x, na.rm=F, dims=1, unbiased=T, SumSquares=F)rowMeans(x, na.rm=F, dims=1)rowSums(x, na.rm=F, dims=1)rowVars(x, na.rm=F, dims=1, unbiased=T, SumSquares=F)rowStdevs(x, na.rm=F, dims=1, unbiased=T, SumSquares=F)矩阵函数vector(mode=&quo

4、t;logical", length=0) 生成向量is.vector(x, mode="any") as.vector(x, mode="any") matrix(data=NA, nrow= , ncol= ,byrow=F, dimnames=NULL) 生成矩阵ncol(x) 设定矩阵的列数nrow(x) 设定矩阵的行数is.matrix(x) as.matrix(x) t(m) 矩阵转置字符操作函数paste 连接字符串作图函数Plot()densityplot(x) 作密度图barplot 作柱形图hist(x) 作直方图histo

5、gram(x) 作直方图pie()boxplot()rnorm() 生成正态随机数ceiling(x)floor(x) trunc(x) exp(x)log(x) 自然对数logb(x, base= ) 给定底数的对数值 log10(x) 常用对数:10为底sqrt(x)par(mfrow=c(3,3)for (i in 1:9)for (j in 1:9) a<-rbeta(3000,i/10,j/10)den2<- density(a) plot(den2$x,den2$y,type="l",col=98,xlab=paste("a=",

6、i/10, " b=",j/10),ylab="" ) i<-1while(i<20)cat("this is =",i,"t"); if (i%5=0) cat("n")i=i+1;par(mfrow=c(3,3)y<- rnorm(50)plot(y,col=40,type="l",ylab="",main="option is l") plot(y,col=40,type="p",ylab=&

7、quot;",main="option is p") plot(y,col=40,type="b",ylab="",main="option is b") plot(y,col=40,type="o",ylab="",main="option is o") plot(y,col=40,type="s",ylab="",main="option is s") plot(y,col=40,type="h",ylab="",main="option is h")plot(y,col=40,type="n",ylab="",main="option is n")S-Plus循环控制语句for(name in values) exprwhile(test) exprrepeat exprbreaknext选择子数据集：累积概率密度的反函数/分位数函数Computes the inverse of the cdf of th