df_test <- structure(list(ano = c("2017", "2018", "2016", "2017", "2019",
"2015", "2017", "2014", "2019", "2019", "2018", "2018", "2016",
"2015", "2018", "2014", "2018", "2017", "2013", "2013", "2017",
"2014", "2019", "2018", "2014", "2012", "2018", "2016", "2017",
"2017", "2016", "2013", "2013", "2016", "2016", "2019", "2015",
"2018", "2018", "2015", "2016", "2016", "2017", "2015", "2018",
"2019", "2014", "2019", "2017", "2017"), plano = c("dom", "dom",
"dom", "dom", "dom", "indiv", "dom", "indiv", "dom", "dom", "indiv",
"dom", "indiv", "indiv", "dom", "indiv", "dom", "dom", "indiv",
"indiv", "dom", "indiv", "dom", "indiv", "indiv", "indiv", "dom",
"dom", "indiv", "indiv", "dom", "indiv", "indiv", "dom", "dom",
"dom", "indiv", "dom", "dom", "indiv", "dom", "dom", "dom", "indiv",
"dom", "indiv", "indiv", "dom", "dom", "dom"), FUN = c("svymean",
"svymean", "svymean", "svymean", "svytotal", "svymean", "svymean",
"svymean", "svymean", "svymean", "svymean", "svymean", "svymean",
"svymean", "svytotal", "svytotal", "svytotal", "svymean", "svytotal",
"svymean", "svymean", "svytotal", "svytotal", "svytotal", "svytotal",
"svytotal", "svymean", "svymean", "svymean", "svymean", "svytotal",
"svymean", "svymean", "svytotal", "svymean", "svymean", "svytotal",
"svytotal", "svytotal", "svytotal", "svytotal", "svymean", "svytotal",
"svymean", "svytotal", "svytotal", "svytotal", "svymean", "svytotal",
"svymean"), nivel_geo = c("Brasil", "UF", "UF", "UF", "UF", "UF",
"UF", "UF", "UF", "UF", "UF", "UF", "UF", "UF", "UF", "UF", "UF",
"UF", "UF", "UF", "UF", "UF", "Brasil", "UF", "UF", "UF", "UF",
"UF", "UF", "UF", "UF", "UF", "UF", "UF", "UF", "UF", "UF", "UF",
"Brasil", "UF", "UF", "UF", "UF", "UF", "UF", "UF", "UF", "UF",
"UF", "UF"), dataset_ncol = c(11, 8, 11, 11, 9, 8, 9, 9, 9, 8,
8, 10, 7, 9, 10, 9, 10, 10, 11, 9, 8, 11, 10, 10, 10, 8, 12,
11, 8, 9, 9, 10, 11, 11, 10, 10, 8, 10, 11, 10, 10, 11, 11, 10,
11, 9, 11, 11, 11, 10), dataset_nrow = c(457992, 18336, 27005,
8868, 22119, 33998, 17111, 34365, 16439, 6617, 13050, 3939, 8136,
8071, 16591, 9324, 3939, 9864, 17460, 9142, 12539, 25026, 443790,
18336, 18360, 26557, 17193, 24405, 9864, 9408, 6962, 6806, 3681,
9880, 15720, 10714, 24130, 13050, 452654, 24543, 35253, 16810,
17111, 10939, 23168, 14700, 34365, 22119, 27215, 11811), tempo = c(273.04,
0.08, 3.57, 0.46, 0.32, 0.21, 0.13, 0.9, 0.15, 0.04, 0.23, 0.24,
0.04, 0.42, 0.31, 0.18, 0.26, 0.26, 1.75, 0.24, 0.05, 2.79, 133.99,
2.14, 0.32, 0.26, 3.26, 3.91, 0.23, 0.18, 0.06, 0.69, 0.36, 0.77,
0.87, 0.54, 0.25, 0.27, 8.18, 0.35, 1.42, 1.77, 1.06, 0.35, 0.43,
0.34, 4.77, 1.58, 2.01, 0.39), mem_pvis_max = c(544.047325134277,
122.865600585938, 360.384086608887, 152.105979919434, 180.40958404541,
193.730201721191, 158.211395263672, 406.825965881348, 149.750030517578,
83.2024612426758, 140.560905456543, 145.050598144531, 89.1797637939453,
269.914329528809, 164.044227600098, 169.293312072754, 146.031768798828,
146.231033325195, 423.658081054688, 162.795219421387, 113.055000305176,
394.483703613281, 374.99836730957, 325.749076843262, 238.771148681641,
183.612976074219, 346.478515625, 342.796897888184, 131.08708190918,
141.631523132324, 115.570785522461, 340.014465332031, 193.118881225586,
287.77318572998, 320.306861877441, 248.47297668457, 196.485359191895,
152.960388183594, 653.537414550781, 213.93293762207, 314.031227111816,
322.105438232422, 330.373077392578, 243.379119873047, 193.075866699219,
179.576484680176, 389.032249450684, 279.987251281738, 332.115821838379,
238.103805541992), `mem_max-min` = c(431.71460723877, 27.1304779052734,
253.06672668457, 42.1375274658203, 106.412956237793, 73.3605804443359,
58.3911514282227, 282.397514343262, 73.3049011230469, 6.42665100097656,
54.1255111694336, 38.676139831543, 5.25722503662109, 141.029609680176,
55.9052886962891, 44.7003479003906, 39.7570953369141, 37.3797607421875,
299.793579101562, 37.0999069213867, 16.4557723999023, 268.444305419922,
291.509063720703, 232.457977294922, 108.857093811035, 65.6079177856445,
239.240028381348, 232.514434814453, 44.1096725463867, 47.4968109130859,
20.0627822875977, 210.684768676758, 62.0345993041992, 186.239120483398,
223.69051361084, 171.083297729492, 71.2015380859375, 48.291862487793,
540.230545043945, 88.6630020141602, 213.222381591797, 217.541679382324,
223.299057006836, 109.247772216797, 90.0808334350586, 101.400299072266,
261.106895446777, 193.048561096191, 224.183799743652, 131.035530090332
), `mem_max-first` = c(431.71460723877, 27.1304779052734, 247.924392700195,
42.1375274658203, 106.412956237793, 73.3605804443359, 58.3911514282227,
282.237106323242, 73.3049011230469, 6.42665100097656, 54.1255111694336,
38.676139831543, 5.25722503662109, 141.029609680176, 55.9052886962891,
44.7003479003906, 39.7570953369141, 37.3797607421875, 292.547309875488,
37.0999069213867, 16.4557723999023, 259.140106201172, 291.509063720703,
223.579284667969, 108.857093811035, 65.6079177856445, 229.684768676758,
230.304161071777, 44.1096725463867, 47.4968109130859, 20.0627822875977,
210.684768676758, 62.0345993041992, 179.423606872559, 223.69051361084,
171.083297729492, 71.2015380859375, 48.291862487793, 540.230545043945,
88.6630020141602, 210.968994140625, 209.615745544434, 218.08674621582,
109.247772216797, 90.0808334350586, 101.400299072266, 253.695289611816,
187.31583404541, 219.898864746094, 131.035530090332), mem_all_alloc = c(87349.1,
50, 1858.9, 55.2, 160, 122.4, 88, 469.4, 108.1, 15.8, 73, 56.7,
16, 193.6, 78.6, 61.3, 59.7, 51, 1030.5, 50.3, 32.6, 1665, 41180.9,
1109.2, 145.3, 99.4, 1719.6, 2071.3, 59.1, 63.9, 34, 304.4, 95.5,
346.7, 355.1, 238.7, 103.8, 66.5, 2874.4, 121.5, 620.6, 831.9,
531.4, 156.4, 121.3, 146.2, 2528.5, 811.3, 940, 185.5), mem_Rprof_last_reg = c(456.61555480957,
122.865600585938, 156.417663574219, 152.105979919434, 180.40958404541,
193.730201721191, 158.211395263672, 197.511535644531, 149.750030517578,
83.2024612426758, 140.560905456543, 145.050598144531, 89.1797637939453,
269.914329528809, 164.044227600098, 169.293312072754, 146.031768798828,
146.231033325195, 360.37141418457, 162.795219421387, 113.055000305176,
372.238304138184, 222.441284179688, 262.386589050293, 238.771148681641,
183.612976074219, 293.382064819336, 146.43376159668, 131.08708190918,
141.631523132324, 115.570785522461, 340.014465332031, 193.118881225586,
198.33177947998, 137.755897521973, 248.47297668457, 196.485359191895,
152.960388183594, 586.755386352539, 213.93293762207, 156.741500854492,
134.499206542969, 310.199699401855, 243.379119873047, 193.075866699219,
179.576484680176, 363.774612426758, 124.875061035156, 206.249732971191,
238.103805541992), mem_max_mem_minus_mem_used_delta = c(693,
60.5, 583.5, 77, 163.1, 131.7, 97.9, 482.5, 119.9, 21.8, 77,
71.5, 29.3, 207.2, 93.2, 72.8, 70.7, 72.2, 518.9, 65, 42.3, 494.6,
572.9, 550.3, 163.4, 112.4, 568.7, 573.4, 63, 72.7, 48.9, 320.1,
110.4, 365, 357.2, 240.6, 116.3, 80.3, 787.8, 132.6, 524.5, 509.2,
525.9, 171.6, 132, 158.3, 485.1, 635.7, 530.2, 196.9), max_mem_used = c(967.232328,
295.623272, 852.636288, 314.778152, 387.867648, 393.035072, 339.59596,
757.686928, 338.059952, 238.312648, 299.744232, 313.127088, 248.433608,
473.631544, 334.329048, 328.12332, 311.78368, 312.755592, 799.134328,
317.239968, 277.643656, 774.499832, 814.834424, 802.34832, 424.998848,
362.910608, 838.394656, 841.94972, 285.503544, 300.260744, 283.692296,
588.813976, 370.817656, 618.737528, 613.329344, 470.842952, 374.1492,
320.636488, 1064.34024, 394.976, 784.104112, 774.753008, 791.987376,
438.156752, 376.710944, 369.640016, 764.645968, 887.068392, 796.087392,
445.369752), n_vars_inf = c(1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 2,
1, 1, 1, 3, 1, 1, 3, 1, 3, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1,
1, 1, 1, 1, 2, 3, 4, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1), n_vars_group_by = c(3,
0, 3, 0, 1, 1, 1, 2, 1, 0, 0, 2, 0, 2, 0, 2, 2, 0, 4, 0, 0, 4,
2, 3, 3, 0, 4, 3, 0, 2, 1, 3, 4, 3, 2, 2, 0, 0, 0, 0, 2, 3, 3,
3, 0, 2, 4, 3, 3, 2), n_levels_inf = c(0, 6, 0, 756, 0, 0, 0,
0, 0, 0, 42, 0, 7, 0, 126, 0, 0, 126, 0, 28, 6, 0, 0, 0, 0, 14,
0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 42, 126, 756, 168, 0, 0, 0, 0,
756, 0, 0, 0, 0, 0), n_levels_group_by = c(NA_real_, NA_real_,
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_,
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_,
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_,
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_,
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_,
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_,
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_)), row.names = c(NA,
-50L), class = c("tbl_df", "tbl", "data.frame"))
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