首先，我是R的新手，所以如果我要问的话是愚蠢或多余，我很抱歉。我试图在网站上找到我的问题的答案，但我找不到它。
我试图做的是荟萃分析。不幸的是，对于我的荟萃分析的几乎所有研究，我都有不同的因变量和不同的自变量，因此我需要计算我的效果大小的偏相关系数，这在metafor \ meta中不可用包。我找到了popcorn包但我无法让它工作。
我的数据集已在Excel上创建，然后已导入为csv：
Codebook <- read.csv("~/R/Codebook.csv", sep=";", dec=",")
我的数据集由若干列组成，表示使用虚拟的不同因变量（即如果研究使用ROA则为1，否则为0，否则为1，对于ROE 0等）和具有自变量系数的列，即自变量SE，它的T-stat和最后每个研究的自由度。这是dput（）结果的一部分，主要是因变量虚拟变量和ind变量：
structure(list(study = structure(c(39L, 67L, 68L, 69L, 70L, 71L,
72L, 73L, 75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 74L, 84L,
85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 1L,
2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L,
16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L,
29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 40L, 41L, 42L,
43L, 44L, 45L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L, 54L, 55L,
56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L, 66L), .Label = c("10A",
"10B", "10C", "11A", "11A-1", "11B", "11B-1", "12A", "12B", "13A",
"13B", "14A", "14B", "14C", "14D", "15A", "15A-1", "15A-2", "15B",
"15B-1", "15B-2", "16A", "17A", "17A-1", "17B", "17B-1", "18A",
"18A-1", "18B", "18B-1", "18C", "18C-1", "18D", "18D-1", "19A",
"19A-1", "19B", "19B-1", "1A", "20A", "20A-1", "20B", "20B-1",
"20C", "20C-1", "20D", "20D-1", "21A", "22A", "22A-1", "22B",
"22B-1", "23A", "23B", "24A", "24A-1", "24A-2", "24B", "24B-1",
"24B-2", "24C", "24C-1", "24C-2", "25A", "26A", "27A", "2A",
"2A-1", "2A-2", "3A", "3B", "4A", "4B", "5,00E-01", "5A", "5A-1",
"5B", "5B-1", "5C", "5C-1", "5D", "5D-1", "5E", "5F", "5F-1",
"6A", "7A", "7B", "8A", "8B", "8C", "8D", "9A", "9A-1", "9B",
"9B-1"), class = "factor"), dv_ros = c(1L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), dv_roa. = c(0L, 1L,
1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L,
1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L), dv_roarat = c(0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 1L,
1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L,
0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L),
dv_droa = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), dv_roe. = c(0L, 0L,
0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L), dv_roerat = c(0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L),
dv_tq = c(0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), dv_Inv = c(0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L,
0L, 1L, 0L), dv_ag. = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), dv_nop = c(0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L), dv_rota. = c(0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L
), dv_odpa = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L,
1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), dv_grows = c(0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L,
1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L), iv_dummyshare = c(NA, 0.043, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, 0.05, NA, NA, 0.02, NA, NA, -0.02, NA,
NA, NA, NA, NA), tstat_iv_dummyshare = c(NA, 3.5833333, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, 2.62, NA, NA, 3.44, NA, NA, -2.23,
NA, NA, NA, NA, NA), sd_iv_dummyshare = c(NA, 0.012, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, 0.019084, NA, NA, 0.005814, NA, NA,
0.0089686, NA, NA, NA, NA, NA), sig_iv_dummyshare = c(NA,
0.99, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.99, NA, NA, 0.99, NA,
NA, 0.95, NA, NA, NA, NA, NA), iv_share = c(NA, NA, 0.092,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, 0.041, NA, 0.003, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.15, NA, NA, 0.16, NA,
NA, -0.23, NA, NA, NA, NA), tstat_iv_share = c(NA, NA, 1.3142857,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, 4.7, NA, 2.93, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, 2.09, NA, NA, 2.2, NA, NA,
-2.76, NA, NA, NA, NA), sd_iv_share = c(NA, NA, 0.07, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, 0.0087234, NA, 0.0010239, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.0717703, NA, NA,
0.0727273, NA, NA, 0.0833333, NA, NA, NA, NA), sig_iv_share = c(NA,
NA, 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, 0.99, NA, 0.99, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.99, NA, NA, 0.95,
NA, NA, 0.99, NA, NA, NA, NA), iv_mainshare = c(-0.003, NA,
NA, -0.005, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, -0.667, NA, NA, -0.02, -0.007, NA, NA, 1.56,
NA, -1.28, NA, NA, NA, NA, NA, NA, NA, NA, -0.009, -0.132,
-0.0109, 0.0987, 0.0992, -0.0325, -0.174, 0.00192, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, -0.017,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA), tstat_iv_mainshare = c(-1.121, NA, NA, -0.1923077,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, -1.7015306, NA, NA, -0.5, -0.175, NA, NA, 1.64, NA, -0.58,
NA, NA, NA, NA, NA, NA, NA, NA, -2.35, -5.51, -0.6855346,
0.7477273, -0.75, -3.04, -2.19, 0.2, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, -5.41, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA), sd_iv_mainshare = c(0.0026762, NA, NA, 0.026, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.392,
NA, NA, 0.04, 0.04, NA, NA, 0.9512195, NA, 2.2068966, NA,
NA, NA, NA, NA, NA, NA, NA, 0.0038298, 0.0239564, 0.0159,
0.132, -0.1322667, 0.0106908, 0.0794521, 0.0096, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.0031423,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA), sig_iv_mainshare = c(0, NA, NA, 0, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0, NA,
NA, 0, 0, NA, NA, 0, NA, 0, NA, NA, NA, NA, NA, NA, NA, NA,
0.99, 0.99, 0, 0, 0, 0.99, 0.95, 0, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.99, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA
), iv_topshare = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, -0.1342, NA, -0.0587, NA, -0.1451, NA, -0.153, NA,
NA, NA, NA, NA, -0.098, NA, -0.009, NA, -0.023, NA, -0.023,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA), tstat_iv_topshare = c(NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, -6.24, NA, -2.12, NA, -4.67,
NA, -5.12, NA, NA, NA, NA, NA, -2.89, NA, -0.34, NA, -0.54,
NA, -0.57, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA), sd_iv_topshare = c(NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.0215064, NA, 0.0276887,
NA, 0.0310707, NA, 0.0298828, NA, NA, NA, NA, NA, 0.03391,
NA, 0.0264706, NA, 0.0425926, NA, 0.0403509, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA), sig_iv_topshare = c(NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, 0.99, NA, 0.95, NA, 0.99, NA, 0.99, NA,
NA, NA, NA, NA, 0.99, NA, 0, NA, 0, NA, 0, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA), iv_multirel = c(NA, NA, NA, NA, -0.0153975, -0.0099928,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
-3.87, -1.63, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, -7e-04, NA,
NA, -3e-04, NA, NA, 0.0027, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA), tstat_iv_multirel = c(NA, NA, NA, NA,
-3.03, -0.2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, -5.375, -2.7166667, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, 1.1650469, NA, NA, 4.4171734, NA, NA, 0.0009231,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), sd_iv_multirel = c(NA,
NA, NA, NA, 0.0050817, 0.049964, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.72, 0.6, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, -0.0006008, NA, NA, -6.79e-05, NA, NA,
2.925, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA
), sig_iv_multirel = c(NA, NA, NA, NA, 0.99, 0, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.99, 0.99,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, 0, NA, NA, 0.99, NA, NA,
0.95, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA
), iv_bankloan = c(NA, NA, NA, NA, NA, NA, -2.783, -0.497,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, 0.03, -0.75, NA, -17.09, NA, -25.51, -10.564, -5.698,
-2.734, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, -0.673, NA, 0.138, NA, -0.0233,
NA, -0.0216, NA, -0.032, NA, -0.0185, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, -17.0327, NA, -1.412762,
NA, NA, NA, NA, NA, -0.19, NA, NA, -0.19, NA, NA, -0.19,
NA, NA, NA), tstat_iv_bankloan = c(NA, NA, NA, NA, NA, NA,
-6.12, -3.91, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, 0.75, -1.9230769, NA, -8.33, NA,
-8.21, -29.1019284, -18.7434211, -10.2397004, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, -3.86, NA, 4.45, NA, -4.6, NA, -5.02, NA, -5.87,
NA, -2.18, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, -7.7562386, NA, -7.3204276, NA, NA, NA, NA, NA, -4.35,
NA, NA, -4.31, NA, NA, -12.9, NA, NA, NA), sd_iv_bankloan = c(NA,
NA, NA, NA, NA, NA, 0.4547386, 0.12711, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.04, 0.39,
NA, 2.0516206, NA, 3.1071864, 0.363, 0.304, 0.267, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, 0.1743523, NA, 0.0310112, NA, 0.0050652, NA,
0.0043028, NA, 0.0054514, NA, 0.0084862, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, 2.196, NA, 0.192989,
NA, NA, NA, NA, NA, 0.0436782, NA, NA, 0.0440835, NA, NA,
0.0147287, NA, NA, NA), sig_iv_bankloan = c(NA, NA, NA, NA,
NA, NA, 0.99, 0.99, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, 0, 0.9, NA, 0.99, NA, 0.99, 0.99,
0.99, 0.99, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, 0.99, NA, 0.99, NA, 0.99,
NA, 0.99, NA, 0.99, NA, 0.95, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, 0.99, NA, 0.99, NA, NA, NA, NA, NA,
0.99, NA, NA, 0.99, NA, NA, 0.99, NA, NA, NA), iv_mainbl = c(NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, -0.214, NA, -0.007, NA,
-0.144, NA, -0.107, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA), tstat_iv_mainbl = c(NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, -4.35, NA, -0.18, NA,
-2.35, NA, -1.8, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA), sd_iv_mainbl = c(NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.0491954, NA, 0.0388889,
NA, 0.0612766, NA, 0.0594444, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), sig_iv_mainbl = c(NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.99, NA, 0, NA, 0.95,
NA, 0.9, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA), iv_number = c(NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
0.007, NA, 0.004, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
-5e-04, NA, NA, -5e-04, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, 9.137, NA, 14.627, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, -0.055, -0.023, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, -0.1054), tstat_iv_number = c(NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, 4.4171734, NA, 4.4171734, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, -1.7006965, NA, NA, -0.7977768, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 3.2,
NA, 3.73, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, -4.4171734, -4.4171734, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, -8.054), sd_iv_number = c(NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.0015847,
NA, 0.0009056, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.000294,
NA, NA, 0.0006267, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, 2.8553125, NA, 3.9214477, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.0124514, 0.005207,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.0130867), sig_iv_number = c(NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, 0.99, NA, 0.99, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, 0.9, NA, NA, 0, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, 0.99, NA, 0.99, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, 0.99, 0.99, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, 0.99), iv_lnumber = c(NA, NA,
NA, NA, NA, NA, NA, NA, -1.047, NA, -0.443, NA, 0.727, NA,
1.112, NA, 0.412, NA, 2.296, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, 6.576, NA, 0.3020241, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), tstat_iv_lnumber = c(NA,
NA, NA, NA, NA, NA, NA, NA, -3.6103448, NA, -0.4159624, NA,
1.0370899, NA, 0.4525845, NA, 0.3772894, NA, 0.6288688, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 2.7343035,
NA, 7.0203388, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA), sd_iv_lnumber = c(NA, NA, NA, NA, NA, NA, NA,
NA, 0.29, NA, 1.065, NA, 0.701, NA, 2.457, NA, 1.092, NA,
3.651, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, 2.405, NA, 0.0430213, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA), sig_iv_lnumber = c(NA, NA, NA,
NA, NA, NA, NA, NA, 0.95, NA, 0, NA, 0, NA, 0, NA, 0, NA,
0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, 0.99, NA, 0.99, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA), iv_lduration = c(NA, NA, NA, NA, NA, NA,
NA, NA, NA, 0.048, NA, -0.647, NA, 0.637, NA, -0.608, NA,
0.712, NA, -2.711, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA), tstat_iv_lduration = c(NA, NA, NA,
NA, NA, NA, NA, NA, NA, 0.1352113, NA, -0.4961656, NA, 0.9312866,
NA, -0.2533333, NA, 0.8944724, NA, -1.0187899, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), sd_iv_lduration = c(NA,
NA, NA, NA, NA, NA, NA, NA, NA, 0.355, NA, 1.304, NA, 0.684,
NA, 2.4, NA, 0.796, NA, 2.661, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA), sig_iv_lduration = c(NA,
NA, NA, NA, NA, NA, NA, NA, NA, 0L, NA, 0L, NA, 0L, NA, 0L,
NA, 0L, NA, 0L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA), freedom = c(1654L, 529L, 529L, 529L,
619L, 619L, 5094L, 5094L, 7751L, 7751L, 7751L, 7751L, 1682L,
1682L, 1682L, 1682L, 482L, 482L, 482L, 482L, 2263L, 1276L,
1647L, 630L, 366L, 578L, 283L, 526L, 526L, 348L, 348L, 6725L,
5503L, 6196L, 2366L, 2366L, 2816L, 2816L, 10570L, 10570L,
1320L, 1325L, 82L, 124L, 549L, 549L, 788L, 788L, 788L, 788L,
788L, 788L, 10319L, 1206L, 1206L, 1209L, 1209L, 7811L, 7811L,
6478L, 6478L, 4316L, 4316L, 4318L, 4318L, 518715L, 518715L,
519066L, 519066L, 270L, 270L, 271L, 271L, 270L, 270L, 271L,
271L, 70L, 4291L, 4291L, 4262L, 4262L, 1845L, 1845L, 8446L,
8446L, 8446L, 8448L, 8448L, 8448L, 8448L, 8448L, 8448L, 6117L,
2662L, 1932L)), .Names = c("study", "dv_ros", "dv_roa.",
"dv_roarat", "dv_droa", "dv_roe.", "dv_roerat", "dv_tq", "dv_Inv",
"dv_ag.", "dv_nop", "dv_rota.", "dv_odpa", "dv_grows", "iv_dummyshare",
"tstat_iv_dummyshare", "sd_iv_dummyshare", "sig_iv_dummyshare",
"iv_share", "tstat_iv_share", "sd_iv_share", "sig_iv_share",
"iv_mainshare", "tstat_iv_mainshare", "sd_iv_mainshare", "sig_iv_mainshare",
"iv_topshare", "tstat_iv_topshare", "sd_iv_topshare", "sig_iv_topshare",
"iv_multirel", "tstat_iv_multirel", "sd_iv_multirel", "sig_iv_multirel",
"iv_bankloan", "tstat_iv_bankloan", "sd_iv_bankloan", "sig_iv_bankloan",
"iv_mainbl", "tstat_iv_mainbl", "sd_iv_mainbl", "sig_iv_mainbl",
"iv_number", "tstat_iv_number", "sd_iv_number", "sig_iv_number",
"iv_lnumber", "tstat_iv_lnumber", "sd_iv_lnumber", "sig_iv_lnumber",
"iv_lduration", "tstat_iv_lduration", "sd_iv_lduration", "sig_iv_lduration",
"freedom"), class = "data.frame", row.names = c(NA, -96L))
如何计算变量之间的偏相关效果以获得效果大小？
感谢您的帮助
答案 0 :(得分：1)
评论开始看起来有点长，所以我将添加我当前的建议作为答案。我们可以从那里去：
library(ppcor)
library(dplyr)
#select only columns that start with iv', get the partial correlation
#note that the dataset is named 'df.test' and should be changed
pcor(df.test %>% select(starts_with("iv")))
另一种可能性是从输出中省略NA，如下所示：
pcor(na.omit(df.test %>% select(starts_with("iv"))))
答案 1 :(得分：1)
遵循Aloe＆amp; amp;提供的公式。 Thompson，“部分效果大小的合成”我使用以下函数来计算它们：
par_cor <- function(y1, y2) {
ts <- y1; ts2 <- y1*2; df <- (y2);
pc <- (ts)/(sqrt(ts2 + df))
pc}
然后我使用以下命令将不同函数的输出绑定在一起：
pc <- pmin(par_corr, par_corr1, par_corr2, par_corr3, ... , na.rm = TRUE)
其中ts是自变量自变量的t-stat，df是回归自由度。然后，我通过执行以下方式计算方差：
par_corVAR <- function(y1, y2) {
pc <- y1; df <- y2;
pcv <- ((1-pc^2)^2)/(df)
pcv}
它不是很优雅，但它可以解决问题。谢谢你的帮助！