Dear Paolo, Just replace rownames = 1, header = F, and the file uploads correctly with all landmarks.
Hope this helps. Miguel On Wed, Apr 2, 2025 at 1:25 PM Pablo Fisichella <[email protected]> wrote: > Dear all, > > I digitized 3D landmarks (n=299) using the software Checkpoint and > exported the files as .csv. I'm trying to upload multiple files in .csv > format using the function "read.csv.folder" from the Morpho package, or a > single file using the function "readLandmarks.csv" from the same package. > However, the issue is that the x, y, and z coordinates from the first > landmark are not uploaded, while only the other 298 points are included, > and NAs are introduced in the last row. > > The code I'm using is: > > landmark.array <- read.csv.folder("path", 1:299, y = 4:6, rownames = NULL, > header = TRUE, > dec = ".", sep = ",", pattern = "csv", > addSpec = NULL, back = TRUE) > This is the result: > > , , Ind1 > > X Y Z > 1 -2.18000000 0.237566000 5.2655400 > 2 -8.69000000 -6.650000000 1.2601890 > 3 3.77826400 -8.630000000 4.2642350 > 4 -7.99000000 -1.180000000 1.6310280 > 5 4.34564100 -2.930000000 4.6177230 > 6 -8.97000000 -7.350000000 0.6072258 > 7 -8.98000000 -8.300000000 1.2513500 > 8 3.99086800 -9.970000000 3.8588860 > 9 4.24589300 -9.110000000 3.3048690 > 10 3.95688200 -9.990000000 3.8555440 > 11 3.84379100 -10.000000000 4.3102960 > 12 3.26217500 -10.100000000 4.5509180 > 13 2.37966200 -10.100000000 4.7165460 > 14 1.34776000 -10.100000000 4.8121060 > 15 0.23383380 -9.990000000 4.8329710 > 16 -0.93400000 -10.000000000 4.7235750 > 17 -2.14000000 -10.300000000 4.5075430 > 18 -3.31000000 -10.300000000 4.2902630 > 19 -4.40000000 -10.000000000 4.0897090 > 20 -5.40000000 -9.460000000 3.8938110 > 21 -6.30000000 -9.120000000 3.6209790 > 22 -7.08000000 -8.910000000 3.2707120 > 23 -7.74000000 -8.740000000 2.8410040 > 24 -8.32000000 -8.630000000 2.3211320 > 25 -8.80000000 -8.530000000 1.7538540 > 26 -8.96000000 -8.310000000 1.2594320 > 27 4.25949900 -9.700000000 3.9731930 > 28 3.70783000 -10.100000000 4.4555560 > 29 2.75185600 -10.200000000 4.7467360 > 30 1.69306400 -10.100000000 4.9488820 > 31 0.66578200 -10.100000000 5.0655640 > 32 -0.37400000 -9.900000000 5.0958600 > 33 -1.40000000 -10.100000000 5.0577690 > 34 -2.46000000 -10.300000000 4.9589680 > 35 -3.52000000 -10.200000000 4.8004170 > 36 -4.50000000 -9.990000000 4.5865970 > 37 -5.37000000 -9.560000000 4.3144640 > 38 -6.15000000 -9.240000000 3.9876750 > 39 -6.88000000 -9.010000000 3.5826820 > 40 -7.57000000 -8.800000000 3.0799070 > 41 -8.27000000 -8.630000000 2.4552900 > 42 -8.96000000 -8.420000000 1.7132720 > 43 -9.28000000 -7.630000000 0.9160942 > 44 4.28558000 -9.380000000 4.0822780 > 45 3.80255400 -9.530000000 4.8178280 > 46 2.87347100 -9.910000000 5.2712720 > 47 1.66577000 -10.100000000 5.5316360 > 48 0.49480790 -10.100000000 5.6795720 > 49 -0.62500000 -9.940000000 5.6958760 > 50 -1.67000000 -9.830000000 5.6549180 > 51 -2.70000000 -9.770000000 5.5685380 > 52 -3.67000000 -9.630000000 5.4051990 > 53 -4.60000000 -9.470000000 5.1907800 > 54 -5.47000000 -9.260000000 4.9037640 > 55 -6.28000000 -9.070000000 4.5386360 > 56 -7.07000000 -8.870000000 4.0745110 > 57 -7.86000000 -8.620000000 3.4827130 > 58 -8.63000000 -8.250000000 2.7449090 > 59 -9.20000000 -7.720000000 1.9071930 > 60 -9.10000000 -7.040000000 0.9867042 > 61 4.10885900 -9.000000000 4.1947880 > 62 3.01131600 -8.840000000 4.8753070 > 63 1.93227000 -8.780000000 5.2088910 > 64 1.02626600 -8.810000000 5.5867010 > 65 0.02446002 -8.730000000 5.7317640 > 66 -0.94700000 -8.530000000 5.7142420 > 67 -1.88000000 -8.560000000 5.7892050 > 68 -2.80000000 -8.530000000 5.7559490 > 69 -3.70000000 -8.460000000 5.6377850 > 70 -4.52000000 -8.240000000 5.3832730 > 71 -5.31000000 -8.100000000 5.1187110 > 72 -6.07000000 -7.980000000 4.7943710 > 73 -6.80000000 -7.840000000 4.3558030 > 74 -7.50000000 -7.650000000 3.7806240 > 75 -8.05000000 -7.370000000 3.0464650 > 76 -8.61000000 -7.130000000 2.2179280 > 77 -8.89000000 -6.830000000 1.1045020 > 78 3.75444700 -8.620000000 4.3028460 > 79 2.51529100 -8.420000000 4.8644000 > 80 1.56739500 -8.270000000 5.2821570 > 81 0.68271470 -8.180000000 5.6998430 > 82 -0.27000000 -8.030000000 5.8278500 > 83 -1.17000000 -7.940000000 5.9681840 > 84 -2.05000000 -7.900000000 6.0620920 > 85 -2.91000000 -7.820000000 6.0226410 > 86 -3.74000000 -7.680000000 5.8630720 > 87 -4.50000000 -7.520000000 5.6175140 > 88 -5.23000000 -7.380000000 5.3332920 > 89 -5.91000000 -7.240000000 4.9526780 > 90 -6.60000000 -7.160000000 4.5310050 > 91 -7.23000000 -7.030000000 3.9443510 > 92 -7.78000000 -6.890000000 3.2141910 > 93 -8.31000000 -6.770000000 2.3801570 > 94 -8.69000000 -6.650000000 1.2574760 > 95 3.30150000 -8.280000000 4.3341590 > 96 2.19530300 -7.990000000 4.8782050 > 97 1.35706400 -7.790000000 5.5020470 > 98 0.45563390 -7.650000000 5.9144540 > 99 -0.45600000 -7.500000000 6.1137970 > 100 -1.33000000 -7.370000000 6.2494060 > 101 -2.17000000 -7.250000000 6.2873130 > 102 -2.99000000 -7.140000000 6.2416260 > 103 -3.76000000 -7.010000000 6.0900520 > 104 -4.49000000 -6.890000000 5.8684410 > 105 -5.18000000 -6.780000000 5.5725440 > 106 -5.82000000 -6.670000000 5.1629830 > 107 -6.47000000 -6.600000000 4.6995610 > 108 -7.11000000 -6.540000000 4.1244410 > 109 -7.65000000 -6.470000000 3.3780680 > 110 -8.13000000 -6.430000000 2.5233760 > 111 -8.50000000 -6.430000000 1.4426130 > 112 2.97829900 -7.820000000 4.3988980 > 113 2.03217000 -7.500000000 5.0857930 > 114 1.18382200 -7.280000000 5.7606320 > 115 0.29581110 -7.110000000 6.2103070 > 116 -0.59600000 -6.930000000 6.3823580 > 117 -1.44000000 -6.770000000 6.5033250 > 118 -2.25000000 -6.620000000 6.5101180 > 119 -3.03000000 -6.480000000 6.4460000 > 120 -3.77000000 -6.370000000 6.3107120 > 121 -4.47000000 -6.270000000 6.0932970 > 122 -5.14000000 -6.190000000 5.7995190 > 123 -5.78000000 -6.120000000 5.4028020 > 124 -6.39000000 -6.080000000 4.8908120 > 125 -7.01000000 -6.060000000 4.2984190 > 126 -7.56000000 -6.040000000 3.5404370 > 127 -8.06000000 -6.050000000 2.6823080 > 128 -8.40000000 -6.110000000 1.6489780 > 129 2.77299200 -7.310000000 4.5539250 > 130 1.91551200 -7.000000000 5.3642300 > 131 1.07253300 -6.760000000 6.0986120 > 132 0.18507230 -6.540000000 6.4596450 > 133 -0.68000000 -6.330000000 6.6232190 > 134 -1.50000000 -6.130000000 6.6832550 > 135 -2.28000000 -5.970000000 6.6998620 > 136 -3.03000000 -5.830000000 6.6128910 > 137 -3.74000000 -5.720000000 6.4739280 > 138 -4.42000000 -5.630000000 6.2608390 > 139 -5.09000000 -5.580000000 5.9735130 > 140 -5.74000000 -5.550000000 5.6024800 > 141 -6.35000000 -5.540000000 5.0869210 > 142 -6.95000000 -5.560000000 4.4677590 > 143 -7.48000000 -5.600000000 3.7069780 > 144 -8.00000000 -5.660000000 2.8466630 > 145 -8.33000000 -5.770000000 1.8582010 > 146 2.66770300 -6.810000000 4.7262430 > 147 1.86144800 -6.510000000 5.6374420 > 148 1.01052700 -6.220000000 6.2719550 > 149 0.13896630 -5.950000000 6.5830020 > 150 -0.70200000 -5.700000000 6.7505190 > 151 -1.50000000 -5.490000000 6.8400020 > 152 -2.26000000 -5.310000000 6.8188040 > 153 -2.99000000 -5.170000000 6.7217130 > 154 -3.68000000 -5.060000000 6.5612970 > 155 -4.36000000 -4.990000000 6.3690760 > 156 -5.02000000 -4.950000000 6.0887320 > 157 -5.67000000 -4.950000000 5.7230390 > 158 -6.31000000 -4.970000000 5.2366770 > 159 -6.90000000 -5.030000000 4.6082540 > 160 -7.43000000 -5.120000000 3.8506270 > 161 -7.94000000 -5.240000000 3.0098780 > 162 -8.27000000 -5.400000000 2.0474690 > 163 2.68803800 -6.330000000 4.8775010 > 164 1.90268600 -6.020000000 5.7836710 > 165 1.05038800 -5.670000000 6.3662480 > 166 0.18388930 -5.350000000 6.6590510 > 167 -0.64700000 -5.070000000 6.8431360 > 168 -1.44000000 -4.830000000 6.9117180 > 169 -2.19000000 -4.640000000 6.8782390 > 170 -2.91000000 -4.500000000 6.7445040 > 171 -3.60000000 -4.400000000 6.6120310 > 172 -4.27000000 -4.330000000 6.4204160 > 173 -4.94000000 -4.310000000 6.1494530 > 174 -5.61000000 -4.320000000 5.7892010 > 175 -6.25000000 -4.370000000 5.3065590 > 176 -6.86000000 -4.470000000 4.6930880 > 177 -7.38000000 -4.600000000 3.9471420 > 178 -7.89000000 -4.760000000 3.1285350 > 179 -8.24000000 -4.970000000 2.2044620 > 180 2.82702400 -5.830000000 4.9467000 > 181 2.05371100 -5.500000000 5.8308200 > 182 1.19460400 -5.110000000 6.3915270 > 183 0.31641750 -4.740000000 6.6787820 > 184 -0.51800000 -4.430000000 6.8774210 > 185 -1.31000000 -4.180000000 6.9387020 > 186 -2.07000000 -3.980000000 6.8780140 > 187 -2.79000000 -3.830000000 6.7569550 > 188 -3.48000000 -3.730000000 6.6070700 > 189 -4.16000000 -3.670000000 6.3980770 > 190 -4.85000000 -3.660000000 6.1323900 > 191 -5.54000000 -3.680000000 5.7833840 > 192 -6.20000000 -3.750000000 5.3143680 > 193 -6.81000000 -3.870000000 4.7064390 > 194 -7.35000000 -4.030000000 3.9822400 > 195 -7.85000000 -4.240000000 3.1729150 > 196 -8.22000000 -4.480000000 2.3136000 > 197 3.08097900 -5.320000000 4.9822890 > 198 2.29895800 -4.970000000 5.8333040 > 199 1.41497200 -4.530000000 6.3506440 > 200 0.52100050 -4.130000000 6.6261750 > 201 -0.32900000 -3.790000000 6.8034410 > 202 -1.13000000 -3.510000000 6.8966640 > 203 -1.90000000 -3.310000000 6.8182760 > 204 -2.62000000 -3.160000000 6.6941330 > 205 -3.34000000 -3.060000000 6.5647290 > 206 -4.05000000 -3.000000000 6.3470340 > 207 -4.76000000 -2.990000000 6.0664830 > 208 -5.47000000 -3.030000000 5.7073250 > 209 -6.15000000 -3.110000000 5.2333560 > 210 -6.78000000 -3.250000000 4.6464220 > 211 -7.32000000 -3.440000000 3.9304620 > 212 -7.83000000 -3.670000000 3.1472680 > 213 -8.21000000 -3.930000000 2.3631640 > 214 3.39223900 -4.800000000 4.9659660 > 215 2.60032300 -4.430000000 5.7800730 > 216 1.68895800 -3.940000000 6.2552800 > 217 0.77682770 -3.510000000 6.5265930 > 218 -0.08230000 -3.140000000 6.7131680 > 219 -0.89800000 -2.840000000 6.8060150 > 220 -1.68000000 -2.640000000 6.7059600 > 221 -2.42000000 -2.490000000 6.5855740 > 222 -3.17000000 -2.370000000 6.4732960 > 223 -3.91000000 -2.320000000 6.2396420 > 224 -4.64000000 -2.320000000 5.9223800 > 225 -5.38000000 -2.370000000 5.5366260 > 226 -6.08000000 -2.480000000 5.0589720 > 227 -6.73000000 -2.630000000 4.4890640 > 228 -7.29000000 -2.840000000 3.8031080 > 229 -7.79000000 -3.090000000 3.0483220 > 230 -8.17000000 -3.350000000 2.3356600 > 231 3.71774600 -4.280000000 4.9254030 > 232 2.92679700 -3.880000000 5.6861150 > 233 1.99234100 -3.350000000 6.1143080 > 234 1.06585400 -2.890000000 6.3607580 > 235 0.20066790 -2.500000000 6.5325130 > 236 -0.61700000 -2.160000000 6.6705480 > 237 -1.41000000 -1.940000000 6.6024580 > 238 -2.19000000 -1.790000000 6.4638170 > 239 -2.96000000 -1.680000000 6.3001770 > 240 -3.74000000 -1.640000000 6.0410610 > 241 -4.52000000 -1.660000000 5.6940880 > 242 -5.28000000 -1.730000000 5.2799060 > 243 -5.99000000 -1.850000000 4.7980760 > 244 -6.67000000 -2.010000000 4.2535300 > 245 -7.25000000 -2.240000000 3.6009800 > 246 -7.74000000 -2.510000000 2.8840790 > 247 -8.13000000 -2.770000000 2.2342210 > 248 3.97118700 -3.770000000 4.8390360 > 249 3.22193700 -3.320000000 5.5322630 > 250 2.30483700 -2.750000000 5.9389680 > 251 1.38410000 -2.270000000 6.1664470 > 252 0.53003250 -1.850000000 6.3445430 > 253 -0.29500000 -1.500000000 6.4360500 > 254 -1.11000000 -1.280000000 6.3516530 > 255 -1.90000000 -1.120000000 6.2129660 > 256 -2.72000000 -0.998000000 6.0384500 > 257 -3.55000000 -0.970000000 5.7457130 > 258 -4.37000000 -1.010000000 5.3679390 > 259 -5.14000000 -1.120000000 4.9263980 > 260 -5.89000000 -1.250000000 4.4499220 > 261 -6.60000000 -1.420000000 3.9335270 > 262 -7.20000000 -1.660000000 3.3298900 > 263 -7.69000000 -1.940000000 2.6706230 > 264 -8.08000000 -2.210000000 2.0644670 > 265 4.11903900 -3.300000000 4.6961930 > 266 3.46500100 -2.770000000 5.3423200 > 267 2.59829700 -2.160000000 5.7209770 > 268 1.72666800 -1.640000000 5.9567510 > 269 0.89305940 -1.190000000 6.1180350 > 270 0.06544720 -0.846000000 6.1472300 > 271 -0.75300000 -0.621000000 6.0545990 > 272 -1.57000000 -0.491000000 5.8699780 > 273 -2.44000000 -0.369000000 5.6678410 > 274 -3.33000000 -0.325000000 5.3729640 > 275 -4.20000000 -0.369000000 4.9944420 > 276 -5.00000000 -0.512000000 4.5231720 > 277 -5.78000000 -0.665000000 4.0474330 > 278 -6.50000000 -0.854000000 3.5439690 > 279 -7.12000000 -1.100000000 2.9874890 > 280 -7.64000000 -1.390000000 2.4052130 > 281 -8.04000000 -1.670000000 1.8520060 > 282 4.34296300 -2.920000000 4.6258990 > 283 3.62177200 -2.200000000 5.1395670 > 284 2.84145700 -1.550000000 5.4662790 > 285 2.06232900 -1.020000000 5.6505990 > 286 1.29929700 -0.591000000 5.7613550 > 287 0.51633110 -0.250000000 5.7881260 > 288 -0.31100000 0.007965269 5.7201490 > 289 -1.19000000 0.155720400 5.5293150 > 290 -2.12000000 0.252159300 5.2654910 > 291 -3.12000000 0.323921600 4.9478560 > 292 -4.13000000 0.283673000 4.5344500 > 293 -5.06000000 0.064145830 3.9873830 > 294 -5.95000000 -0.164000000 3.4330840 > 295 -6.74000000 -0.415000000 2.8827030 > 296 -7.36000000 -0.693000000 2.3482680 > 297 -7.77000000 -0.971000000 1.8882020 > 298 -8.00000000 -1.190000000 1.6149230 > 299 NA NA NA > > > The same issue occurs when I try to upload a single file using the > following line: > > readLandmarks.csv("path/Ind1.csv", 1:299, y = 4:6, rownames = NULL, header > = TRUE, > dec = ".", sep = ",") > > I have attached an example of the file I tried to upload in the second > case. As you can see, the coordinates for the first landmark > (-3.34E+00,-1.03E+01,4.279302e+00) were not uploaded in R. > > Can somebody tell me where the error is? > > Thanks in advance, > > Paolo > > > -- > You received this message because you are subscribed to the Google Groups > "Morphmet" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To view this discussion visit > https://groups.google.com/d/msgid/morphmet2/CANPrD1jrqM2CMGGNJsqJrmvCXOg61pZxyVrtv%2B33oq14RrSW9w%40mail.gmail.com > <https://groups.google.com/d/msgid/morphmet2/CANPrD1jrqM2CMGGNJsqJrmvCXOg61pZxyVrtv%2B33oq14RrSW9w%40mail.gmail.com?utm_medium=email&utm_source=footer> > . > -- Miguel Delgado Ph.D. National Council of Scientific and Technical Research Teacher Assistant in Biological Anthropology Anthropology Division, Faculty of Natural Sciences and Museum, National University of La Plata, Argentina Ministry of Education Key Laboratory of Contemporary Anthropology Collaborative Innovation Center of Genetics and Development School of Life Sciences and Human Phenome Institute Fudan University, Shanghai, China Phone: +54 2214191107 E-mail: [email protected], [email protected] Website:https://www.researchgate.net/profile/Miguel_Delgado15 <https://www.researchgate.net/profile/Miguel_Delgado15> -- You received this message because you are subscribed to the Google Groups "Morphmet" group. 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