R语言相关性分析函数和相关性检验函数

目录

1. 相关性分析函数

2. 相关性检验函数

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1. 相关性分析函数

我们用cor函数来计算两组数据的相关系数，结果越靠近1，正相关性越强，越靠近-1，负相关性越强

> cor(state.x77)
            Population     Income  Illiteracy    Life Exp     Murder     HS Grad      Frost        Area
Population  1.00000000  0.2082276  0.10762237 -0.06805195  0.3436428 -0.09848975 -0.3321525  0.02254384
Income      0.20822756  1.0000000 -0.43707519  0.34025534 -0.2300776  0.61993232  0.2262822  0.36331544
Illiteracy  0.10762237 -0.4370752  1.00000000 -0.58847793  0.7029752 -0.65718861 -0.6719470  0.07726113
Life Exp   -0.06805195  0.3402553 -0.58847793  1.00000000 -0.7808458  0.58221620  0.2620680 -0.10733194
Murder      0.34364275 -0.2300776  0.70297520 -0.78084575  1.0000000 -0.48797102 -0.5388834  0.22839021
HS Grad    -0.09848975  0.6199323 -0.65718861  0.58221620 -0.4879710  1.00000000  0.3667797  0.33354187
Frost      -0.33215245  0.2262822 -0.67194697  0.26206801 -0.5388834  0.36677970  1.0000000  0.05922910
Area        0.02254384  0.3633154  0.07726113 -0.10733194  0.2283902  0.33354187  0.0592291  1.00000000

2. 相关性检验函数

我们使用cor.test函数来得出两组数据的相关性

> cor.test(state.x77[,3],state.x77[,5])

	Pearson's product-moment correlation

data:  state.x77[, 3] and state.x77[, 5]
t = 6.8479, df = 48, p-value = 1.258e-08
alternative hypothesis: true correlation is not equal to 0
95 percent confidence interval:
 0.5279280 0.8207295
sample estimates:
      cor 
0.7029752