data/Bornmann07.R

In mikewlcheung/metasem: Meta-Analysis using Structural Equation Modeling

Bornmann07 <-
structure(list(Id = c(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, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 48L, 49L, 50L, 46L, 
47L, 51L, 52L, 53L, 57L, 56L, 55L, 54L, 58L, 59L, 60L, 61L, 62L, 
63L, 64L, 65L, 66L), Study = c("Ackers (2000a; Marie Curie)", 
"Ackers (2000b; Marie Curie)", "Ackers (2000c; Marie Curie)", 
"Ackers (2000d; Marie Curie)", "Ackers (2000e; Marie Curie)", 
"Ackers (2000f; Marie Curie)", "Ackers (2000g; Marie Curie)", 
"Allmendinger (2002a; DFG)", "Allmendinger (2002b; DFG)", "Allmendinger (2002c; DFG)", 
"Allmendinger (2002d; DFG)", "Allmendinger (2002e; DFG)", "Allmendinger (2002f; DFG)", 
"Allmendinger (2002g; DFG)", "Bazeley (1998; ARC)", "Bornmann (2005; BIF)", 
"Brouns (2000a; NWO/ KNAW)", "Brouns (2000b; NWO/ KNAW)", "Brouns (2000c; NWO/ KNAW)", 
"Brouns (2000d; NWO/ KNAW)", "Brouns (2000e; NWO/ KNAW)", "Dexter (2002a; Wellcome Trust)", 
"Dexter (2002b; Wellcome Trust)", "Dexter (2002c; Wellcome Trust)", 
"Emery (1992; NIH)", "Friesen (1998a; MRC)", "Friesen (1998b; MRC)", 
"Friesen (1998c; MRC)", "Goldsmith (2002a; NSF)", "Goldsmith (2002b; NSF)", 
"Grant (1997a; Wellcome Trust)", "Grant (1997b; Wellcome Trust)", 
"Grant (1997c; MRC)", "Grant (1997d; MRC)", "Jayasinghe (2001; ARC)", 
"National Science Foundation (2005a)", "National Science Foundation (2005b)", 
"National Science Foundation (2005c)", "National Science Foundation (2005d)", 
"National Science Foundation (2005e)", "National Science Foundation (2005f)", 
"National Science Foundation (2005g)", "National Science Foundation (2005h)", 
"Over (1996; ARC)", "Sigelman (1987; NSF)", "Taplick (2005a; EMBO)", 
"Taplick (2005b; EMBO)", "Taplick (2005c; EMBO)", "Viner (2004a; EPSRC)", 
"Viner (2004b; EPSRC)", "Ward (1998; NHMRC)", "Wellcome Trust (1997)", 
"Wenneras (1997; MRC)", "Willems (2001a; DFG)", "Willems (2001b; DFG)", 
"Willems (2001c; DFG)", "Willems (2001d; DFG)", "Wood (1997a; ARC)", 
"Wood (1997b; ARC)", "Wood (1997c; ARC)", "Wood (1997d; ARC)", 
"Wood (1997e; ARC)", "Wood (1997f; ARC)", "Wood (1997g; ARC)", 
"Wood (1997h; ARC)", "Wood (1997i; ARC)"), Cluster = c(1L, 1L, 
1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 4L, 5L, 5L, 
5L, 5L, 5L, 6L, 6L, 6L, 7L, 8L, 8L, 8L, 9L, 9L, 10L, 10L, 10L, 
10L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 14L, 16L, 
16L, 16L, 15L, 15L, 17L, 18L, 19L, 20L, 20L, 20L, 20L, 21L, 21L, 
21L, 21L, 21L, 21L, 21L, 21L, 21L), logOR = c(-0.40108, -0.05727, 
-0.29852, 0.36094, -0.33336, -0.07173, -0.16793, -0.55585, -0.09217, 
0.48184, -0.25672, -0.429, -0.55207, -1.113, -0.24714, -0.45176, 
-0.44629, -0.87855, 1.50539, -0.8546, -0.09465, 0.04879, -0.14259, 
-0.89097, 0.35229, -0.05753, -0.20078, -0.27131, -0.31304, -0.05053, 
-0.03353, 0.48551, 0.14548, -0.5499, -0.00307, 0.18275, 0.08592, 
-0.02845, 0.11214, 0.0739, 0.00872, 0.06467, 0.07257, 0.10536, 
-0.86392, -0.1039, -0.31322, -0.16188, 0.35424, 0.05373, 0.08573, 
0.71562, -1.42885, -0.07833, -0.10434, -0.07452, -0.08312, -0.26194, 
-0.43191, -0.56531, -1.48881, -0.15985, 0.11464, -0.17096, 0.02763, 
0.66155), v = c(0.0139169209, 0.0342879289, 0.0339112225, 0.03404025, 
0.0128210329, 0.0136118889, 0.00583696, 0.3964969024, 0.5866794025, 
0.7119478129, 0.2932547409, 0.43652449, 0.136161, 0.3360289024, 
0.1291467969, 0.0092083216, 0.5400045225, 0.3606843249, 0.3146649025, 
0.1750836649, 0.0834227689, 0.0438567364, 0.0225690529, 0.3852560761, 
0.0899220169, 0.0056896849, 0.0768620176, 0.0157301764, 0.0106688241, 
0.0051955264, 0.0235591801, 0.20967241, 0.0372219849, 0.1441341225, 
0.01532644, 0.0009903609, 0.0009897316, 0.0010686361, 0.0009853321, 
0.0009653449, 0.0008838729, 0.0008305924, 0.0007963684, 0.1429520481, 
0.6091334209, 0.0151831684, 0.0035414401, 0.0460274116, 0.0258984649, 
0.0228644641, 0.0510714801, 0.2265188836, 0.3550729744, 0.0065788321, 
0.0057441241, 0.0062805625, 0.0055234624, 0.1470952609, 0.1526230489, 
0.6184092321, 1.1067250401, 0.2695997929, 0.0751527396, 0.4548558249, 
0.0569920129, 0.2744397769), Year = c(1996L, 1996L, 1996L, 1996L, 
1996L, 1996L, 1996L, 1993L, 1994L, 1995L, 1996L, 1997L, 1998L, 
1999L, 1995L, 1992L, 1994L, 1994L, 1994L, 1994L, 1994L, 2000L, 
2000L, 2000L, 1990L, 1998L, 1998L, 1998L, 1979L, 1993L, 1996L, 
1996L, 1996L, 1995L, 1996L, 1997L, 1998L, 1999L, 2000L, 2001L, 
2002L, 2003L, 2004L, 1993L, 1986L, 2002L, 2000L, 2002L, 1994L, 
1998L, 1996L, 1995L, 2001L, 2000L, 1999L, 1998L, 1997L, 1995L, 
1995L, 1995L, 1995L, 1995L, 1995L, 1995L, 1995L, 1995L), Type = structure(c(2L, 
2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 
2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 
1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L), .Label = c("Grant", "Fellowship"), class = "factor"), Discipline = structure(c(1L, 
1L, 1L, 1L, 3L, 1L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 2L, 3L, 
3L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 4L, 2L, 2L, 2L, 
2L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 2L, 2L, 2L, 1L, 
1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 3L, 1L, 3L, 
1L), .Label = c("Physical sciences", "Life sciences/biology", 
"Social sciences/humanities", "Multidisciplinary"), class = "factor"), 
    Country = structure(c(5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 4L, 4L, 4L, 
    1L, 2L, 2L, 2L, 1L, 1L, 4L, 4L, 4L, 4L, 3L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 3L, 1L, 5L, 5L, 5L, 4L, 4L, 3L, 4L, 5L, 5L, 
    5L, 5L, 5L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L), .Label = c("United States", 
    "Canada", "Australia", "United Kingdom", "Europe"), class = "factor")), .Names = c("Id", 
"Study", "Cluster", "logOR", "v", "Year", "Type", "Discipline", 
"Country"), row.names = c(NA, -66L), class = "data.frame")