Thank you for your help, the code works perfectly with the uploaded dataset. But as I said, I have reduced the supplied data because rstudio can only upload a certain amount. For my whole dataset the code runs until the following line:
df1Data <- tmp %>% select(MT_19_02:MT_19_09)
Error: Can't subset columns that don't exist.
x Column MT_19_02
doesn't exist
I also corrected the column names so that R knows that it should also perform the process with the remaining columns. But that didn't change anything. I'll try uploading the dataset after I clean it up with your code so it doesn't go over the limit. For df2, it also deleted a lot of rows and colums (), otherwise even the R console would have shown me the whole df. So sorry for the trouble.
df1 <-structure(list(ID = c(1, 2, 6, 7, 8, 9, 10, 11, 13, 14, 15, 17,
18, 20, 23, 27, 28, 29, 31, 32, 33, 34, 42, 44, 46, 49, 50, 51,
53, 54, 56, 57, 61, 62, 66, 68, 70, 71, 72, 73, NA), time = c(4.68,
6.34, 8.49, 8.53, 8.54, 9.1, 9.34, 9.35, 9.59, 9.91, 10.73, 11.26,
11.46, 11.85, 12.45, 12.85, 13.78, 13.79, 13.94, 14.04, 14.09,
14.31, 17.06, 17.18, 17.21, 17.33, 17.5, 19.73, 21.12, 21.65,
22.6, 23.66, 24.51, 25.25, 28.07, 30.21, 31.06, 31.08, 32.11,
32.38, NA), MT_19_02 = c(0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1,
0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0,
1, 1, 1, 0, 0, 1, 0, 23), MT_19_03 = c(0, 1, 0, 1, 1, 0, 1, 1,
1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0,
0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 23), MT_19_04 = c(0, 1, 0, 1,
1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1,
1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 24), MT_19_05 = c(0,
1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0,
0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 28), MT_19_06 = c(1,
1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 0,
1, 1, 1, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 26), MT_19_07 = c(0,
1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0,
0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 23), MT_19_09 = c(0,
1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1,
1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 0, 21), MT_19_10 = c(1,
1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1,
0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 27), MT_19_11 = c(0,
1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0,
1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 22), MT_19_12 = c(0,
1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0,
1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 22), MT_19_13 = c(0,
1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0,
1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 29), MT_19_14 = c(0,
1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0,
1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 30), MT_19_16 = c(0,
1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0,
1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 27), MT_19_17 = c(0,
1, 1, 1, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0,
1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 37), MT_19_18 = c(0,
1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0,
1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 22), MT_19_19 = c(0,
1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0,
1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 27), MT_19_20 = c(0,
1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0,
0, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 25), MT_19_21 = c(0,
1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0,
0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 28), MT_19_23 = c(0,
1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0,
0, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 20), MT_19_24 = c(0,
1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0,
0, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 27), MT_19_25 = c(0,
1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 0,
0, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 21), MT_19_26 = c(0,
1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0,
0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 29), MT_19_27 = c(0,
1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0,
0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 29), MT_19_28 = c(0,
1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0,
0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 24), MT_19_30 = c(1,
1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0,
0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 19), MT_19_31 = c(0,
1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0,
0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 21), MT_19_32 = c(1,
1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0,
0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 22), MT_19_33 = c(1,
1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0,
0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 24), MT_19_34 = c(1,
1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0,
0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 28), MT_19_35 = c(0,
1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0,
0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 27), MT_19_37 = c(1,
1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0,
0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 25), MT_19_38 = c(0,
1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0,
0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 29), MT_19_39 = c(1,
1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0,
1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 26), MT_19_40 = c(1,
1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0,
1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 28), MT_19_41 = c(1,
1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0,
1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 29), MT_19_42 = c(1,
1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0,
1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 32)), row.names = c(NA,
-41L), groups = structure(list(.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), ptype = integer(0), class = c("vctrs_list_of",
"vctrs_vctr", "list"))), row.names = c(NA, -41L), class = c("tbl_df",
"tbl", "data.frame")), class = c("rowwise_df", "tbl_df", "tbl",
"data.frame"))
df2<-structure(list(ID_MS1 = c(4, 5, 6, 7, 9, 11, 12, 13, 14, 15,
16, 17, 18, 21, 22, 23, 24, 26, 28), mz = c(152.002294921875,
167.038227081299, 182.012874603271, 166.017890236594, 137.986631774902,
152.002294921875, 164.002365112305, 178.018017578125, 136.991384887695,
167.997035217285, 151.007039642334, 193.017663955688, 185.012418365479,
213.043928146362, 279.05419921875, 160.991397433811, 239.059560139974,
265.03872833252, 183.033332824707), Formula = c("C3H7NO4S", "C5H12O4S",
"C4H9NO5S", "C4H9NO4S", "C2H5NO4S", "C3H7NO4S", "C4H7NO4S", "C5H9NO4S",
"C3H6O4S", "C3H7NO5S", "C4H8O4S", "C6H10O5S", "C4H10O6S", "C6H14O6S",
"C10H16O7S", "C5H6O4S", "C8H16O6S", "C9H14O7S", "C5H12O5S"),
MW = c(153.009574921875, 168.045507081299, 183.020154603271,
167.025170236594, 138.993911774902, 153.009574921875, 165.009645112305,
179.025297578125, 137.998664887695, 169.004315217285, 152.014319642334,
194.024943955688, 186.019698365479, 214.051208146362, 280.06147921875,
161.998677433811, 240.066840139974, 266.04600833252, 184.040612824707
), OtoC = c(1.33333333333333, 0.8, 1.25, 1, 2, 1.33333333333333,
1, 0.8, 1.33333333333333, 1.66666666666667, 1, 0.833333333333333,
1.5, 1, 0.7, 0.8, 0.75, 0.777777777777778, 1), HtoC = c(2.33333333333333,
2.4, 2.25, 2.25, 2.5, 2.33333333333333, 1.75, 1.8, 2, 2.33333333333333,
2, 1.66666666666667, 2.5, 2.33333333333333, 1.6, 1.2, 2,
1.55555555555556, 2.4), OtoS = c(4, 4, 5, 4, 4, 4, 4, 4,
4, 5, 4, 5, 6, 6, 7, 4, 6, 7, 5), RDBE = c(1, 0, 1, 1, 1,
1, 2, 2, 1, 1, 1, 2, 0, 0, 3, 3, 1, 3, 0), Xc = c(0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0), KMD_CH2 = c(0.167432198560192,
0.148289295310178, 0.190362598538485, 0.167486822779097,
0.167445330853155, 0.167432198560192, 0.18076139370848, 0.180758930641815,
0.161580916494785, 0.190551773054409, 0.161576167164839,
0.197861292224644, 0.194168153692061, 0.193958607052281,
0.257395193052048, 0.188366998793953, 0.207375900537187,
0.25721627928209, 0.171043829868893), KMD_O = c(-0.0506185090698921,
-0.0913307948672184, -0.070738959996703, -0.0706695712671035,
-0.0304995930539178, -0.0506185090698921, -0.0545036842571278,
-0.0746119157244607, -0.0349363033889176, -0.0504437489389318,
-0.055046824402865, -0.0790268839195107, -0.0712363177712234,
-0.111657695073177, -0.142914326209279, -0.0425787783789815,
-0.135560410266862, -0.122987732058562, -0.0915215989151363
), log10_C0 = c(2.39791428571429, 2.63866644444444, 0.705377777777778,
1.8462, 3.00526666666667, 2.39791428571429, 1.8462, 1.33157777777778,
2.96093628571429, 1.293025, 2.825122, 1.35079472727273, 0.490162,
0.241322, -1.64904270588235, 2.63866644444444, -0.144249428571429,
-1.429028, 1.533222), time = c(6.11775966, 6.14019345, 6.148714175,
6.15885244545455, 6.51033615, 6.64471367, 6.74574776, 6.75789398,
6.80451824, 6.96669176, 7.0671294, 7.15878750833333, 7.2430858,
7.505341575, 7.56266235, 7.61408512222222, 7.62664083333333,
7.71709731, 7.7771714), MT_19_02 = c(40921014.8873828, 13097332.383734,
22555440.5230714, 27393164.3336271, 61707683.456742, 100825067.571966,
23996391.4579917, 0, 135570473.008681, 0, 0, 44727056.0540707,
0, 0, 0, 0, 0, 0, 0), MT_19_03 = c(29714890.4951513, 8146720.13717684,
3214870.59465608, 13743262.6920483, 41082616.2199964, 97692415.9346813,
16625387.5438798, 0, 77546680.369805, 0, 0, 16519006.1476685,
0, 0, 0, 0, 0, 0, 0), MT_19_04 = c(15144592.2799419, 5254317.18339502,
0, 7732797.715469, 32177926.2347124, 40307312.5012659, 18785120.9731572,
0, 83892293.5458507, 0, 0, 18921989.3909306, 5275334.06365532,
0, 0, 7768704.24818661, 6390167.91532848, 0, 0), MT_19_05 = c(17238273.257216,
7927180.53347917, 0, 21040616.4729868, 30305016.5567727,
47817237.7764565, 12157255.8264659, 0, 66945672.1885907,
0, 0, 14467252.8359016, 4545334.33871705, 0, 0, 7104881.41391828,
9101361.07322816, 0, 8216769.55533557), MT_19_06 = c(31281597.6281464,
21990817.3263903, 0, 13220859.4314389, 56650959.227831, 95073669.6785226,
35876430.1988854, 0, 152305981.985153, 0, 0, 13253743.9716474,
12794494.8366698, 0, 0, 13996820.3370385, 8046288.83204314,
0, 0), MT_19_07 = c(11154985.6802547, 4843497.49005086, 0,
8411666.59484592, 23836686.1036455, 20590333.6632542, 8579602.21553705,
0, 65970272.9623348, 0, 0, 3126985.93252623, 3559164.70676559,
0, 0, 0, 7576524.87154396, 0, 8619844.19917643), MT_19_09 = c(168956182.4262,
9180777.77582912, 0, 62681238.2534124, 112395752.116438,
620140025.762412, 105794856.047077, 150150822.806724, 336794721.546787,
41336679.4434988, 37421709.143196, 0, 0, 18036534.6210427,
3800136.52603438, 0, 20137831.0931866, 14890147.5008399,
0), MT_19_10 = c(48332207.2147292, 10791331.433936, 0, 10726123.8188046,
52105449.8265881, 166826389.789969, 25050390.8011113, 14634181.2048366,
151319023.847103, 8091003.70490734, 16583649.2658514, 0,
0, 0, 913684.099831249, 0, 9031926.37868458, 4108485.37661528,
0), MT_19_11 = c(89045678.8045282, 11128901.0833596, 0, 11895773.4274177,
86266868.0670156, 322166775.975469, 54437706.3449453, 36140549.6608461,
242814356.825769, 13362616.2069587, 25629733.5447676, 0,
0, 0, 2956775.90998354, 0, 17503352.8292196, 0, 0), MT_19_12 = c(60325822.6125821,
4589099.65020091, 0, 8215870.87693034, 84933458.7529233,
210064975.304232, 34958378.1954598, 15221319.5971153, 271706586.807697,
11881264.6635966, 28479304.1440168, 0, 0, 11843495.6805816,
0, 0, 20779590.1651981, 10313661.0852359, 0), MT_19_13 = c(148175517.718731,
7677746.21327165, 0, 23711695.1970543, 184311834.441988,
523204044.60661, 97312990.1766912, 51716503.9054531, 583243851.633892,
33010421.3798326, 55650232.9395411, 0, 0, 0, 5395789.96014627,
0, 27702309.7845655, 22945321.602601, 0), MT_19_14 = c(63110115.938353,
4734417.83510925, 0, 9999045.20142465, 152315895.989358,
192840188.07886, 41548476.5961704, 12846278.123611, 393381834.682904,
21025846.1320578, 34513050.4895301, 0, 0, 0, 1497376.9396104,
0, 36237669.0331675, 7991941.71247108, 0), MT_19_16 = c(155910385.682887,
7022209.01633734, 0, 0, 220945203.155195, 562623184.056087,
129748565.122248, 45585863.0446495, 490242984.403488, 0,
44667806.745936, 588772.343743745, 0, 36767430.6246252, 0,
0, 51337011.1700519, 32171847.1995221, 0), MT_19_17 = c(196757757.045999,
8005896.43915949, 0, 0, 319933747.25619, 708248731.324837,
171748791.89215, 84967922.0747553, 667446445.113889, 53671419.6389721,
67592295.4022893, 1907717.78671551, 0, 27566716.5790971,
0, 13166830.4269339, 59328588.4121515, 21335401.6265081,
19622897.425811), MT_19_18 = c(81409546.3532091, 5153703.65685277,
0, 0, 158782949.35829, 248733107.763939, 65540328.1100771,
21767211.4077271, 300440683.103221, 23276281.1091841, 26238057.1116834,
3140351.55509517, 0, 11680569.9689264, 0, 6854050.2806557,
17402158.8305233, 8467328.84993947, 0), MT_19_19 = c(78710956.950067,
7890121.46458072, 0, 0, 173369962.846792, 265192020.115434,
70204261.5862513, 22472061.3954434, 333705296.216223, 26591139.7663504,
31114884.3997605, 1607672.49700778, 0, 12654848.1854707,
0, 4232327.31230244, 35684104.1333406, 10018775.4596541,
0), MT_19_20 = c(36119315.4816924, 7801985.3742186, 0, 0,
102842183.040102, 94999775.4614597, 41108701.3431496, 15310416.0795319,
207199789.283073, 13853048.8878959, 21525439.975603, 28006588.7001422,
0, 6736600.81510299, 0, 11228625.6549107, 10925450.4570871,
2201921.75119878, 0), MT_19_21 = c(67471119.7203984, 16329123.5533808,
0, 0, 136267566.105173, 211437971.442176, 72226607.1736073,
18025087.5084924, 288446129.160453, 21262308.5130413, 26463436.1162096,
2180275.6882263, 0, 12433036.9567383, 0, 5248669.97491262,
19113579.7627601, 8074260.72958999, 0), MT_19_23 = c(93356940.7041948,
9780627.26823907, 0, 24287504.5155847, 206994843.575131,
255956544.547918, 116209413.99731, 41315447.0616982, 385048231.840644,
26105130.3712, 37553623.7336112, 17356596.6352699, 0, 13507608.1096696,
0, 0, 11846827.8774801, 0, 0), MT_19_24 = c(79406084.6496126,
10548576.1511658, 0, 26063373.6782869, 176085665.634575,
227449059.674019, 84964043.1581787, 28140307.9768429, 316844732.059697,
20299685.0269888, 33282292.4162003, 16209824.0636498, 0,
7110349.37869523, 0, 0, 11480406.645973, 0, 0), MT_19_25 = c(66317935.5140773,
17776902.9971029, 0, 16767103.7959746, 127998165.586454,
195828973.214219, 73607753.2755626, 23818806.1830449, 254727404.787772,
18220928.1847117, 26156798.8655035, 0, 0, 0, 0, 0, 11724843.8933971,
0, 0), MT_19_26 = c(73966030.1956294, 7790208.74647162, 0,
14282628.3472864, 116746987.33808, 268617096.799994, 64340879.7195277,
33264911.3978782, 308831445.043396, 15676852.8875634, 31117492.5072407,
827115.566329538, 0, 10370815.4561654, 0, 0, 20997489.8303708,
0, 0), MT_19_27 = c(73263135.8687723, 8644685.76781408, 0,
0, 157276222.755387, 247498563.882778, 81566984.7800822,
27196894.7784803, 400625663.563823, 18745048.5740653, 39418814.7629848,
1204908.30750617, 0, 20549192.5992552, 0, 0, 36805934.3139364,
0, 0), MT_19_28 = c(25295924.6168354, 10712368.2823861, 0,
10717885.2593031, 35900857.1983536, 83714014.424904, 19797154.3775061,
7158775.05206975, 72748908.5578961, 4085545.82548162, 8318665.50708304,
36186703.9598856, 0, 0, 0, 0, 5675262.62449437, 0, 0), MT_19_30 = c(13087436.8298778,
11370574.2402637, 0, 0, 25056810.4144313, 31794692.8206347,
13804889.3568887, 0, 48927556.8276519, 0, 5555974.34889052,
0, 1073897.3859887, 0, 0, 0, 4242772.32174747, 0, 0), MT_19_31 = c(3359975.68980802,
8226099.14090978, 0, 0, 16621260.1605823, 11760756.0403619,
4111417.36552585, 0, 48035330.5318934, 0, 4967246.67090007,
0, 0, 1387413.74988442, 0, 402505.342961813, 0, 0, 0), MT_19_32 = c(24772063.3129362,
6872232.01837121, 0, 0, 38299077.0544131, 82719930.1611535,
19513114.6026037, 0, 113618647.998244, 0, 11474416.1210034,
0, 2456462.6967326, 0, 0, 2608609.95692659, 10077282.2276907,
7774030.53094054, 0), MT_19_33 = c(45961891.3887397, 7837068.6272625,
0, 0, 62419220.0352829, 156937625.747417, 41131090.6472434,
0, 243945795.267734, 0, 33076166.1186556, 0, 39679882.7705766,
0, 0, 6424452.35182053, 28514869.798599, 31585231.5400067,
0), MT_19_34 = c(130182512.841209, 7823865.28469754, 0, 0,
398778915.074548, 399184488.779742, 89772955.4743518, 0,
616842658.300056, 0, 64233044.8658416, 0, 8097399.12308049,
0, 0, 14936261.8002959, 12648484.5161129, 7344251.21070405,
13029943.2801399), MT_19_35 = c(20088367.6603279, 8705141.09750892,
0, 0, 21481372.7745764, 63112139.6209376, 9783996.60656047,
6336429.43035296, 54794731.7315979, 0, 6561800.05299594,
0, 45792553.9865544, 0, 0, 0, 7379571.42940555, 0, 0), MT_19_37 = c(130962496.92524,
37380608.2287576, 0, 0, 120554481.082237, 439696996.914473,
62575664.3373891, 33402609.6430797, 285871560.332436, 0,
28275881.0327855, 0, 11122257.8034333, 0, 0, 0, 16468193.9586932,
12263833.2745809, 0), MT_19_38 = c(99025763.2410848, 0, 0,
0, 118263522.832547, 357194791.078879, 46825477.3344541,
0, 289711519.56038, 18926584.3038094, 27276843.1181931, 0,
47134426.1702013, 9979801.72524031, 0, 0, 17554919.2538222,
9791146.00301455, 0), MT_19_39 = c(181333980.577088, 0, 0,
0, 165790053.373603, 635945809.930321, 102566915.535881,
0, 498159954.142824, 21961638.7267748, 50614873.7822084,
0, 9186025.94990057, 0, 0, 0, 25470256.9320132, 24677064.727387,
0), MT_19_40 = c(66352374.6142799, 0, 0, 0, 111462578.070155,
215124120.021978, 39700657.9507191, 0, 343570683.303895,
13090930.3760042, 37297431.318544, 0, 36127718.1194675, 14198602.0956247,
0, 0, 0, 13668510.6523387, 0), MT_19_41 = c(225155758.104914,
0, 0, 0, 250240400.137729, 785999048.689405, 126333645.124465,
48725326.8373349, 621683497.341299, 30058705.8839785, 57063187.963766,
0, 8476172.57331538, 31227115.8015165, 0, 0, 37605445.2067962,
29103996.394836, 0), MT_19_42 = c(184695835.355027, 0, 0,
0, 318172765.147933, 569695490.43545, 98665087.6579018, 0,
792193411.3729, 29987650.888983, 61861270.4015254, 0, 5610581.37426772,
34372642.1533453, 0, 0, 49072451.2274331, 27367937.8802208,
0)), row.names = c(NA, -19L), groups = structure(list(.rows = structure(list(
1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L,
15L, 16L, 17L, 18L, 19L), ptype = integer(0), class = c("vctrs_list_of",
"vctrs_vctr", "list"))), row.names = c(NA, -19L), class = c("tbl_df",
"tbl", "data.frame")), class = c("rowwise_df", "tbl_df", "tbl",
"data.frame"))