Thank you Paolo and Miguel!

It works correctly

Regards,

Pablo

El mié, 2 abr 2025 a las 13:29, Paolo Piras (<[email protected]>)
escribió:

> Set
> header=F in read.csv()
>
> Il mer 2 apr 2025, 18:25 Pablo Fisichella <[email protected]> ha
> scritto:
>
>> 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
>>
>>
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>>
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