str(model_p)
grouped_df [77 x 2] (S3: grouped_df/tbl_df/tbl/data.frame)
country : Factor w/ 185 levels "Albania","Algeria",..: 2 5 8 9 13 16 18 20 22 23 ...
r.squared: num [1:77] 0.952 0.984 0.983 0.987 0.949 ...
- attr(, "groups")= tibble [77 x 2] (S3: tbl_df/tbl/data.frame)
.. country: Factor w/ 185 levels "Albania","Algeria",..: 2 5 8 9 13 16 18 20 22 23 ...
.. .rows : list [1:77]
.. .. : int 1
.. .. : int 2
.. .. : int 3
.. .. : int 4
.. .. : int 5
.. .. : int 6
.. .. : int 7
.. .. : int 8
.. .. : int 9
.. .. : int 10
.. .. : int 11
.. .. : int 12
.. .. : int 13
.. .. : int 14
.. .. : int 15
.. .. : int 16
.. .. : int 17
.. .. : int 18
.. .. : int 19
.. .. : int 20
.. .. : int 21
.. .. : int 22
.. .. : int 23
.. .. : int 24
.. .. : int 25
.. .. : int 26
.. .. : int 27
.. .. : int 28
.. .. : int 29
.. .. : int 30
.. .. : int 31
.. .. : int 32
.. .. : int 33
.. .. : int 34
.. .. : int 35
.. .. : int 36
.. .. : int 37
.. .. : int 38
.. .. : int 39
.. .. : int 40
.. .. : int 41
.. .. : int 42
.. .. : int 43
.. .. : int 44
.. .. : int 45
.. .. : int 46
.. .. : int 47
.. .. : int 48
.. .. : int 49
.. .. : int 50
.. .. : int 51
.. .. : int 52
.. .. : int 53
.. .. : int 54
.. .. : int 55
.. .. : int 56
.. .. : int 57
.. .. : int 58
.. .. : int 59
.. .. : int 60
.. .. : int 61
.. .. : int 62
.. .. : int 63
.. .. : int 64
.. .. : int 65
.. .. : int 66
.. .. : int 67
.. .. : int 68
.. .. : int 69
.. .. : int 70
.. .. : int 71
.. .. : int 72
.. .. : int 73
.. .. : int 74
.. .. : int 75
.. .. : int 76
.. ..$ : int 77
.. ..@ ptype: int(0)
..- attr(, ".drop")= logi TRUE
dput(model_p)
structure(list(country = structure(c(2L, 5L, 8L, 9L, 13L, 16L,
18L, 20L, 22L, 23L, 26L, 27L, 29L, 30L, 32L, 34L, 36L, 39L, 40L,
41L, 46L, 48L, 49L, 50L, 51L, 56L, 57L, 58L, 64L, 65L, 68L, 73L,
76L, 77L, 78L, 83L, 85L, 88L, 95L, 96L, 103L, 104L, 108L, 110L,
115L, 118L, 119L, 122L, 125L, 126L, 127L, 128L, 129L, 130L, 131L,
132L, 134L, 139L, 142L, 144L, 145L, 146L, 151L, 152L, 153L, 156L,
159L, 164L, 166L, 168L, 170L, 175L, 176L, 177L, 180L, 184L, 185L
), .Label = c("Albania", "Algeria", "Angola", "Antigua and Barbuda",
"Argentina", "Armenia", "Aruba", "Australia", "Austria", "Azerbaijan",
"Bahamas", "Bahrain", "Bangladesh", "Barbados", "Belarus", "Belgium",
"Belize", "Benin", "Bhutan", "Bolivia", "Bosnia and Herzegovina",
"Botswana", "Brazil", "Brunei", "Bulgaria", "Burkina Faso", "Burundi",
"Cambodia", "Cameroon", "Canada", "Cape Verde", "Central African Republic",
"Chad", "Chile", "China", "Colombia", "Comoros", "Congo, Dem. Rep.",
"Congo, Rep.", "Costa Rica", "Cote d'Ivoire", "Croatia", "Cuba",
"Cyprus", "Czech Republic", "Denmark", "Djibouti", "Dominican Republic",
"Ecuador", "Egypt", "El Salvador", "Equatorial Guinea", "Eritrea",
"Estonia", "Ethiopia", "Fiji", "Finland", "France", "French Polynesia",
"Gabon", "Gambia", "Georgia", "Germany", "Ghana", "Greece", "Greenland",
"Grenada", "Guatemala", "Guinea", "Guinea-Bissau", "Guyana",
"Haiti", "Honduras", "Hong Kong, China", "Hungary", "Iceland",
"India", "Indonesia", "Iran", "Iraq", "Ireland", "Israel", "Italy",
"Jamaica", "Japan", "Jordan", "Kazakhstan", "Kenya", "Kiribati",
"Kuwait", "Kyrgyz Republic", "Lao", "Latvia", "Lebanon", "Lesotho",
"Liberia", "Libya", "Lithuania", "Luxembourg", "Macao, China",
"Macedonia, FYR", "Madagascar", "Malawi", "Malaysia", "Maldives",
"Mali", "Malta", "Mauritania", "Mauritius", "Mexico", "Micronesia, Fed. Sts.",
"Moldova", "Mongolia", "Montenegro", "Morocco", "Mozambique",
"Namibia", "Nepal", "Netherlands", "New Caledonia", "New Zealand",
"Nicaragua", "Niger", "Nigeria", "Norway", "Oman", "Pakistan",
"Panama", "Papua New Guinea", "Paraguay", "Peru", "Philippines",
"Poland", "Portugal", "Puerto Rico", "Qatar", "Romania", "Russia",
"Rwanda", "Samoa", "Saudi Arabia", "Senegal", "Serbia", "Seychelles",
"Sierra Leone", "Singapore", "Slovak Republic", "Slovenia", "Solomon Islands",
"South Africa", "South Korea", "Spain", "Sri Lanka", "St. Lucia",
"St. Vincent and the Grenadines", "Sudan", "Suriname", "Swaziland",
"Sweden", "Switzerland", "Syria", "Tajikistan", "Tanzania", "Thailand",
"Timor-Leste", "Togo", "Tonga", "Trinidad and Tobago", "Tunisia",
"Turkey", "Turkmenistan", "Uganda", "Ukraine", "United Arab Emirates",
"United Kingdom", "United States", "Uruguay", "Uzbekistan", "Vanuatu",
"Venezuela", "Vietnam", "West Bank and Gaza", "Yemen", "Zambia",
"Zimbabwe"), class = "factor"), r.squared = c(0.952206405132762,
0.984310769214998, 0.983077726081577, 0.986674081885558, 0.948524805003509,
0.990280510790692, 0.96314499182456, 0.992357210292538, 0.0136498348502071,
0.994024334167962, 0.949621747898243, 0.694288857285042, 0.628716115385511,
0.995082105782108, 0.23479340949334, 0.965200167764429, 0.968740447252198,
0.353362635873773, 0.930933431582171, 0.676989961200411, 0.93932185727259,
0.924651603417629, 0.960824118061419, 0.969603454129696, 0.950442103577446,
0.817863987207643, 0.989571544890154, 0.994664500281546, 0.981611432049193,
0.989651765537058, 0.980682830592941, 0.893474602632304, 0.973144683725378,
0.96586041988086, 0.940841093114749, 0.996818306879507, 0.967327010461329,
0.415815699163487, 0.00295583213227903, 0.978225542014519, 0.773858532415654,
0.944581809238676, 0.99551429533062, 0.969077990316906, 0.978279559647342,
0.992263690820837, 0.973923825403985, 0.948303432573391, 0.967528103385891,
0.930439168169492, 0.888066357255274, 0.93032701615361, 0.881465100361972,
0.855441183382078, 0.993539510809514, 0.962921697965437, 0.981980560621835,
0.311034350275703, 0.953228905965889, 0.931749217657187, 0.686807194109785,
0.996383843428018, 0.988426772636489, 0.985801418166835, 0.921534604161422,
0.983092302074904, 0.990720830319739, 0.948116725798722, 0.810493831825373,
0.966113425249462, 0.99391413430321, 0.986323541675603, 0.977877414311006,
0.98336080872972, 0.913133351425334, 0.1832351903099, 0.223919512510944
)), row.names = c(NA, -77L), groups = structure(list(country = structure(c(2L,
5L, 8L, 9L, 13L, 16L, 18L, 20L, 22L, 23L, 26L, 27L, 29L, 30L,
32L, 34L, 36L, 39L, 40L, 41L, 46L, 48L, 49L, 50L, 51L, 56L, 57L,
58L, 64L, 65L, 68L, 73L, 76L, 77L, 78L, 83L, 85L, 88L, 95L, 96L,
103L, 104L, 108L, 110L, 115L, 118L, 119L, 122L, 125L, 126L, 127L,
128L, 129L, 130L, 131L, 132L, 134L, 139L, 142L, 144L, 145L, 146L,
151L, 152L, 153L, 156L, 159L, 164L, 166L, 168L, 170L, 175L, 176L,
177L, 180L, 184L, 185L), .Label = c("Albania", "Algeria", "Angola",
"Antigua and Barbuda", "Argentina", "Armenia", "Aruba", "Australia",
"Austria", "Azerbaijan", "Bahamas", "Bahrain", "Bangladesh",
"Barbados", "Belarus", "Belgium", "Belize", "Benin", "Bhutan",
"Bolivia", "Bosnia and Herzegovina", "Botswana", "Brazil", "Brunei",
"Bulgaria", "Burkina Faso", "Burundi", "Cambodia", "Cameroon",
"Canada", "Cape Verde", "Central African Republic", "Chad", "Chile",
"China", "Colombia", "Comoros", "Congo, Dem. Rep.", "Congo, Rep.",
"Costa Rica", "Cote d'Ivoire", "Croatia", "Cuba", "Cyprus", "Czech Republic",
"Denmark", "Djibouti", "Dominican Republic", "Ecuador", "Egypt",
"El Salvador", "Equatorial Guinea", "Eritrea", "Estonia", "Ethiopia",
"Fiji", "Finland", "France", "French Polynesia", "Gabon", "Gambia",
"Georgia", "Germany", "Ghana", "Greece", "Greenland", "Grenada",
"Guatemala", "Guinea", "Guinea-Bissau", "Guyana", "Haiti", "Honduras",
"Hong Kong, China", "Hungary", "Iceland", "India", "Indonesia",
"Iran", "Iraq", "Ireland", "Israel", "Italy", "Jamaica", "Japan",
"Jordan", "Kazakhstan", "Kenya", "Kiribati", "Kuwait", "Kyrgyz Republic",
"Lao", "Latvia", "Lebanon", "Lesotho", "Liberia", "Libya", "Lithuania",
"Luxembourg", "Macao, China", "Macedonia, FYR", "Madagascar",
"Malawi", "Malaysia", "Maldives", "Mali", "Malta", "Mauritania",
"Mauritius", "Mexico", "Micronesia, Fed. Sts.", "Moldova", "Mongolia",
"Montenegro", "Morocco", "Mozambique", "Namibia", "Nepal", "Netherlands",
"New Caledonia", "New Zealand", "Nicaragua", "Niger", "Nigeria",
"Norway", "Oman", "Pakistan", "Panama", "Papua New Guinea", "Paraguay",
"Peru", "Philippines", "Poland", "Portugal", "Puerto Rico", "Qatar",
"Romania", "Russia", "Rwanda", "Samoa", "Saudi Arabia", "Senegal",
"Serbia", "Seychelles", "Sierra Leone", "Singapore", "Slovak Republic",
"Slovenia", "Solomon Islands", "South Africa", "South Korea",
"Spain", "Sri Lanka", "St. Lucia", "St. Vincent and the Grenadines",
"Sudan", "Suriname", "Swaziland", "Sweden", "Switzerland", "Syria",
"Tajikistan", "Tanzania", "Thailand", "Timor-Leste", "Togo",
"Tonga", "Trinidad and Tobago", "Tunisia", "Turkey", "Turkmenistan",
"Uganda", "Ukraine", "United Arab Emirates", "United Kingdom",
"United States", "Uruguay", "Uzbekistan", "Vanuatu", "Venezuela",
"Vietnam", "West Bank and Gaza", "Yemen", "Zambia", "Zimbabwe"
), class = "factor"), .rows = structure(list(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, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L,
54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L,
66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L), ptype = integer(0), class = c("vctrs_list_of",
"vctrs_vctr", "list"))), row.names = c(NA, -77L), class = c("tbl_df",
"tbl", "data.frame"), .drop = TRUE), class = c("grouped_df",
"tbl_df", "tbl", "data.frame"))