# 01分布 a<- runif(20) a

0.0534173720516264

0.0381318787112832

0.253885793266818

0.851638266118243

0.356620342005044

0.175922254333273

0.270358079113066

0.421792675741017

0.675487545551732

0.139561568852514

0.649348761420697

0.0383495420683175

0.673801982775331

0.131142142694443

0.241756724659353

0.205821343231946

0.826634412631392

0.827650502324104

0.48426380334422

0.385196640854701

# 算術(shù)平均數(shù) mean(a)

0.385039081587456

# 幾何平均數(shù) exp(mean(log(a)))

0.269715541826603

# 中位數(shù) median(a)

0.313489210559055

b <- sort(a) (b[10]+b[11])/2

0.313489210559055

# 產(chǎn)生0到10的20個(gè)數(shù)round取整 c <- round(runif(20,0,10)) c

6

1

10

9

6

9

3

10

6

3

4

4

7

2

3

3

5

9

2

0

# 眾數(shù) table 統(tǒng)計(jì)出現(xiàn)的次數(shù) x <- table(c) x c0 1 2 3 4 5 6 7 9 10 1 1 2 4 2 1 3 1 3 2 # 取出次數(shù)最多的 names(x)[x==max(x)]

‘3’

a <- round(runif(100,1,10)) table(a) a1 2 3 4 5 6 7 8 9 10 4 8 11 7 16 10 11 8 14 11 stem(a) The decimal point is at the |1 | 00002 | 000000003 | 000000000004 | 00000005 | 00000000000000006 | 00000000007 | 000000000008 | 000000009 | 0000000000000010 | 00000000000 hist(a)

hist(a,breaks=50)

a<- rnorm(100,0,1) hist(a)

# 協(xié)方差與相關(guān)系數(shù) x<-runif(20) y<-runif(20) cov(x,y)

0.00322176575114672

e<- runif(20,0,0.1) z<- x*3+e cov(x,z)

0.191163714793349

#與相關(guān)系數(shù) cor(x,z)

0.999193595914862

# 一元線性回歸| x<- runif(10) y<- 3*x +5+ runif(10,0,0.5) plot(x,y)

# 線性模型 lm(y~x) Call: lm(formula = y ~ x)Coefficients: (Intercept) x 5.349 2.780 plot(x,y) abline(lm(y~x),col="red")

# 多元回歸 x1<- runif(10) x2 <- runif(10) y <- 3*x1+5*x2+2+runif(10,0,0.1) lc<- lm(y~x1+x2) summary(lc) Call: lm(formula = y ~ x1 + x2)Residuals:Min 1Q Median 3Q Max -0.04436 -0.02495 0.00357 0.02298 0.04432 Coefficients:Estimate Std. Error t value Pr(>|t|) (Intercept) 2.08064 0.03958 52.56 2.36e-10 *** x1 2.97190 0.03884 76.51 1.71e-11 *** x2 4.97719 0.04625 107.61 1.58e-12 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Residual standard error: 0.03303 on 7 degrees of freedom Multiple R-squared: 0.9995, Adjusted R-squared: 0.9993 F-statistic: 6916 on 2 and 7 DF, p-value: 2.91e-12

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