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法律研究如何在 R 中在表的边距上添加比例总和？
表中的比例总和有助于我们理解每一行和每一列对总和的贡献。因此，如果我们想在边距上找到比例总和，如果我们有比例表，我们可以使用 addmargins 函数；而如果没有那个表，那么需要先创建它，然后再使用 addmargins 函数。例如，如果我们有一个名为 prop 的比例表，那么命令将是 addmargins(prop)。
示例 1
考虑比例的表格如下 -
> x1<-rpois(5,2) > x2<-rpois(5,2) > x3<-rpois(5,2) > x4<-rpois(5,2) > x5<-rpois(5,2) > x6<-rpois(5,2) > x7<-rpois(5,2) > x8<-rpois(5,2) > table1<-prop.table(rbind(x1,x2,x3,x4,x5,x6,x7,x8)) > table1
输出
[,1] [,2] [,3] [,4] [,5] x1 0.07692308 0.01538462 0.01538462 0.00000000 0.06153846 x2 0.01538462 0.01538462 0.03076923 0.01538462 0.01538462 x3 0.00000000 0.01538462 0.01538462 0.01538462 0.01538462 x4 0.06153846 0.00000000 0.07692308 0.00000000 0.03076923 x5 0.06153846 0.01538462 0.03076923 0.03076923 0.00000000 x6 0.03076923 0.06153846 0.03076923 0.01538462 0.01538462 x7 0.00000000 0.04615385 0.00000000 0.01538462 0.03076923 x8 0.04615385 0.01538462 0.00000000 0.01538462 0.04615385
向表 1 添加边距 -
> addmargins(table1)
输出
Sum x1 0.07692308 0.01538462 0.01538462 0.00000000 0.06153846 0.16923077 x2 0.01538462 0.01538462 0.03076923 0.01538462 0.01538462 0.09230769 x3 0.00000000 0.01538462 0.01538462 0.01538462 0.01538462 0.06153846 x4 0.06153846 0.00000000 0.07692308 0.00000000 0.03076923 0.16923077 x5 0.06153846 0.01538462 0.03076923 0.03076923 0.00000000 0.13846154 x6 0.03076923 0.06153846 0.03076923 0.01538462 0.01538462 0.15384615 x7 0.00000000 0.04615385 0.00000000 0.01538462 0.03076923 0.09230769 x8 0.04615385 0.01538462 0.00000000 0.01538462 0.04615385 0.12307692 Sum 0.29230769 0.18461538 0.20000000 0.10769231 0.21538462 1.00000000
示例 2
> y1<-rpois(20,4) > y2<-rpois(20,4) > y3<-rpois(20,4) > df_y<-data.frame(y1,y2,y3) > df_y
输出
y1 y2 y3 1 6 3 4 2 6 6 8 3 4 3 5 4 5 6 3 5 2 3 1 6 4 4 5 7 2 4 7 8 2 1 3 9 8 6 6 10 2 5 4 11 3 7 1 12 3 3 4 13 6 4 3 14 4 3 1 15 2 3 2 16 2 1 6 17 4 5 2 18 4 5 3 19 7 6 5 20 3 5 3
示例
> table2<-prop.table(as.matrix(df_y)) > table2
输出
y1 y2 y3 [1,] 0.025210084 0.012605042 0.016806723 [2,] 0.025210084 0.025210084 0.033613445 [3,] 0.016806723 0.012605042 0.021008403 [4,] 0.021008403 0.025210084 0.012605042 [5,] 0.008403361 0.012605042 0.004201681 [6,] 0.016806723 0.016806723 0.021008403 [7,] 0.008403361 0.016806723 0.029411765 [8,] 0.008403361 0.004201681 0.012605042 [9,] 0.033613445 0.025210084 0.025210084 [10,] 0.008403361 0.021008403 0.016806723 [11,] 0.012605042 0.029411765 0.004201681 [12,] 0.012605042 0.012605042 0.016806723 [13,] 0.025210084 0.016806723 0.012605042 [14,] 0.016806723 0.012605042 0.004201681 [15,] 0.008403361 0.012605042 0.008403361 [16,] 0.008403361 0.004201681 0.025210084 [17,] 0.016806723 0.021008403 0.008403361 [18,] 0.016806723 0.021008403 0.012605042 [19,] 0.029411765 0.025210084 0.021008403 [20,] 0.012605042 0.021008403 0.012605042
向表 2 添加边距 -
> addmargins(table2)
输出
y1 y2 y3 Sum 0.025210084 0.012605042 0.016806723 0.05462185 0.025210084 0.025210084 0.033613445 0.08403361 0.016806723 0.012605042 0.021008403 0.05042017 0.021008403 0.025210084 0.012605042 0.05882353 0.008403361 0.012605042 0.004201681 0.02521008 0.016806723 0.016806723 0.021008403 0.05462185 0.008403361 0.016806723 0.029411765 0.05462185 0.008403361 0.004201681 0.012605042 0.02521008 0.033613445 0.025210084 0.025210084 0.08403361 0.008403361 0.021008403 0.016806723 0.04621849 0.012605042 0.029411765 0.004201681 0.04621849 0.012605042 0.012605042 0.016806723 0.04201681 0.025210084 0.016806723 0.012605042 0.05462185 0.016806723 0.012605042 0.004201681 0.03361345 0.008403361 0.012605042 0.008403361 0.02941176 0.008403361 0.004201681 0.025210084 0.03781513 0.016806723 0.021008403 0.008403361 0.04621849 0.016806723 0.021008403 0.012605042 0.05042017 0.029411765 0.025210084 0.021008403 0.07563025 0.012605042 0.021008403 0.012605042 0.04621849 Sum 0.331932773 0.348739496 0.319327731 1.00000000
更新于： 2021-03-05
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