Besides base::save()
and base::load()
, two general ways to import and
export data into hyperSpec
objects exist.
read_txt_long(
file = stop("file is required"),
cols = list(.wavelength = expression(lambda/nm), spc = "I / a.u."),
header = TRUE,
...
)
read_txt_wide(
file = stop("file is required"),
cols = list(spc = "I / a.u.", .wavelength = expression(lambda/nm)),
sep = "\t",
row.names = NULL,
check.names = FALSE,
...
)
filename or connection
the column names specifying the column order.
the file has (shall have) a header line
arguments handed to utils::read.table()
and
utils::write.table()
, respectively.
param decreasing logical vector giving the sort order
further parameters are handed over to read_txt_long()
For data import, a list with elements colname = label
; for export a
character vector with the colnames. Use wavelength
to specify the
wavelengths.
handed to utils::read.table()
. Make sure this is FALSE
, if
the column names of the spectra are the wavelength values.
Firstly, hyperSpec
objects can be imported and exported as ASCII files.
A second option is using the package R.matlab::R.matlab()
, which
provides the functions R.matlab::readMat()
and R.matlab::writeMat()
.
Package hyperSpec comes with a number of pre-defined functions to
import manufacturer specific file formats. For details, see
vignette("file-io")
.
read.spc()
imports Thermo Galactic's .spc
file format,
and ENVI files may be read using read.ENVI()
.
These functions are very flexible and provide lots of arguments.
If you use them to read or write manufacturer specific ASCII formats,
please consider writing a wrapper function and contributing this function
to hyperSpec. An example is in the “flu” vignette (see
vignette("flu", package = "hyperSpec"
).
Note that R accepts many packed formats for ASCII files, see
base::connections()
. For .zip
files, see utils::unzip()
.
For further information, see the examples below and the documentation of
R.matlab::R.matlab()
.
A detailed discussion of hyperSpec's file import and export
capabilities is given in vignette fileio
.
Besides base::save()
and base::load()
, two general ways to import and
export data into hyperSpec
objects exist.
Firstly, hyperSpec objects can be imported and exported as ASCII files.
A second option is using the package R.matlab::R.matlab()
which provides the functions R.matlab::readMat()
and
R.matlab::writeMat()
.
hyperSpec comes with a number of pre-defined functions to import
manufacturer specific file formats. For details, see vignette("fileio")
.
read.spc()
imports Thermo Galactic's .spc file
format, and ENVI files may be read using
read.ENVI()
.
These functions are very flexible and provide lots of arguments.
If you use them to read or write manufacturer specific ASCII formats,
please consider writing a wrapper function and contributing this
function to hyperSpec. An example is in the “flu” vignette
(see vignette("flu", package = "hyperSpec"
).
Note that R accepts many packed formats for ASCII files, see
base::connections()
. For .zip files, see utils::unzip()
.
For further information, see the examples below, vignette("fileio")
and the documentation
of R.matlab::R.matlab()
.
R.matlab::R.matlab()
for .mat
files,
read.ENVI()
for ENVI data,
read.spc()
for .spc
files,
if (FALSE) {
vignette("file-io")
}
## Export & import matlab files
if (require(R.matlab)) {
# export to matlab file
writeMat(paste0(tempdir(), "/test.mat"),
x = flu[[]], wavelength = flu@wavelength,
label = lapply(flu@label, as.character)
)
# reading a matlab file
data <- readMat(paste0(tempdir(), "/test.mat"))
print(data)
mat <- new("hyperSpec",
spc = data$x,
wavelength = as.numeric(data$wavelength),
label = data$label[, , 1]
)
}
#> $x
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7]
#> [1,] 27.15000 32.34467 33.37867 34.41933 36.53133 37.64767 38.1370
#> [2,] 66.80133 63.71533 66.71200 69.58233 72.52967 74.55833 77.0480
#> [3,] 93.14433 103.06767 106.19367 110.18633 113.24867 119.17300 121.3133
#> [4,] 130.66367 139.99833 143.79767 148.42000 152.13267 159.31033 165.0523
#> [5,] 167.26667 171.89833 177.47067 184.62467 189.75233 198.11533 205.5627
#> [6,] 198.43033 209.45800 215.78500 224.58700 232.52800 240.77133 248.0467
#> [,8] [,9] [,10] [,11] [,12] [,13] [,14]
#> [1,] 39.17700 40.73567 41.38133 44.25133 44.12633 46.98067 49.08167
#> [2,] 80.25967 82.53867 84.49167 88.15167 91.08533 95.37233 95.53033
#> [3,] 124.67533 129.56867 134.11733 139.98667 145.02333 147.10367 150.53400
#> [4,] 168.68967 175.45900 181.58100 185.69233 190.89667 197.70833 203.64700
#> [5,] 208.41933 217.55267 224.74633 231.03567 236.35233 244.61233 251.95000
#> [6,] 256.89133 262.73900 270.27133 281.82867 287.70467 297.23500 307.59333
#> [,15] [,16] [,17] [,18] [,19] [,20] [,21]
#> [1,] 50.27433 50.10967 52.23167 53.03967 54.5190 56.22033 57.71933
#> [2,] 98.99533 101.03433 103.55800 107.02667 109.5453 111.67233 113.98733
#> [3,] 151.91733 158.18767 162.47900 167.57967 170.9957 176.37600 181.19767
#> [4,] 209.56433 214.66167 219.65333 225.73100 232.1257 236.47700 240.81533
#> [5,] 257.34633 265.54500 272.06333 280.74133 288.1057 291.88367 300.74000
#> [6,] 314.99367 324.56300 330.80033 340.89667 347.6217 355.02667 365.62333
#> [,22] [,23] [,24] [,25] [,26] [,27] [,28]
#> [1,] 59.51433 58.7450 60.09467 61.84067 62.16867 66.04933 65.2450
#> [2,] 117.03267 119.8350 123.49433 123.32367 127.00167 130.68067 132.3580
#> [3,] 181.86833 187.9893 192.12267 194.55600 198.58033 204.04367 208.4330
#> [4,] 247.19200 252.6117 258.44767 262.91767 269.74967 273.44567 279.3453
#> [5,] 307.87567 315.4297 321.89600 326.73133 334.01200 339.59933 343.8617
#> [6,] 374.35700 380.2173 391.40100 398.17300 405.42933 412.48400 421.2730
#> [,29] [,30] [,31] [,32] [,33] [,34] [,35]
#> [1,] 65.7990 66.94333 69.1360 70.92467 73.8340 74.38567 74.17333
#> [2,] 136.1647 138.39933 140.2243 141.04333 143.1313 147.17967 150.01200
#> [3,] 212.5187 215.81567 219.5087 222.67767 227.5900 229.54900 234.28167
#> [4,] 283.7437 290.86000 295.6520 300.38267 303.5927 307.91433 315.23467
#> [5,] 351.2567 357.79733 360.3600 367.96533 374.5490 381.76000 389.24100
#> [6,] 429.3627 433.35767 443.1873 447.88033 461.3393 467.12733 475.18967
#> [,36] [,37] [,38] [,39] [,40] [,41] [,42]
#> [1,] 75.53067 76.42967 76.1320 77.89067 79.36867 79.42733 82.02833
#> [2,] 153.69333 155.72800 158.4720 159.50067 160.81567 163.90967 166.25500
#> [3,] 236.97767 241.06967 245.4193 249.38867 251.92200 256.41200 261.64400
#> [4,] 319.20133 322.25767 328.2200 331.54600 337.62033 341.84300 347.36800
#> [5,] 397.79733 403.78367 408.0230 418.35533 420.61400 427.04333 433.33900
#> [6,] 481.66667 488.73567 494.0187 504.47333 515.40467 521.23867 522.64633
#> [,43] [,44] [,45] [,46] [,47] [,48] [,49]
#> [1,] 83.87833 83.81367 85.50667 86.50233 88.93733 88.99533 89.5150
#> [2,] 169.59233 170.82833 172.08767 175.21133 178.47067 179.68100 181.8287
#> [3,] 264.58433 268.46033 274.54733 275.68967 279.99767 283.71833 285.2170
#> [4,] 352.53033 358.72233 363.61833 369.33300 373.90100 377.09633 383.9850
#> [5,] 438.43633 449.57667 449.64833 455.43800 463.33200 471.47433 476.6003
#> [6,] 536.03533 544.41767 551.63333 556.71267 567.61267 572.54933 578.7267
#> [,50] [,51] [,52] [,53] [,54] [,55] [,56]
#> [1,] 90.55667 91.70633 93.5790 94.0130 94.21033 96.4420 96.62733
#> [2,] 184.42933 187.75600 187.9377 191.0570 192.50900 192.8010 195.55600
#> [3,] 290.15667 292.75667 294.9913 299.2253 301.33567 301.4620 309.15933
#> [4,] 386.89700 393.22067 398.5423 402.3163 405.33067 409.5040 412.68800
#> [5,] 480.93533 486.53833 491.9100 500.5920 502.12433 508.4073 512.70433
#> [6,] 587.74900 590.54867 600.4230 608.3580 614.03833 616.9557 621.87267
#> [,57] [,58] [,59] [,60] [,61] [,62] [,63] [,64]
#> [1,] 98.96233 98.84767 100.5683 100.4493 99.9160 99.7190 100.8863 101.4453
#> [2,] 197.89067 198.78200 200.9947 201.5223 200.2060 204.1320 204.9043 203.9883
#> [3,] 309.92833 310.05567 312.8650 314.6237 318.4220 323.1797 324.5793 325.8513
#> [4,] 418.63200 418.58267 417.9557 420.1910 428.1477 428.4030 430.1730 431.3680
#> [5,] 515.62733 522.20267 524.7247 525.2070 529.6997 531.7140 537.0060 538.2057
#> [6,] 629.80033 633.44500 637.1323 639.1617 642.8983 648.1720 651.6790 654.5397
#> [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72]
#> [1,] 102.6427 104.2297 103.1113 104.7580 103.1583 103.9427 105.3710 105.8633
#> [2,] 205.7560 204.8170 206.0910 208.6073 210.7967 210.5840 210.1903 210.5423
#> [3,] 326.6177 324.6370 326.9670 327.7893 329.9097 328.2817 328.5657 331.6910
#> [4,] 434.9550 434.4253 438.4397 439.8547 438.5417 440.2727 438.3083 440.5403
#> [5,] 543.8357 544.0853 547.9363 552.1570 550.9350 548.2033 548.1477 550.7770
#> [6,] 656.8327 659.7780 662.0563 663.1230 663.4820 670.4757 669.8870 670.0603
#> [,73] [,74] [,75] [,76] [,77] [,78] [,79] [,80]
#> [1,] 103.6797 104.0900 104.6540 105.2263 104.8043 105.8103 104.7580 103.8830
#> [2,] 209.8593 212.8273 212.5207 212.4197 211.2223 215.5637 213.4247 211.1593
#> [3,] 330.7493 335.0677 334.6253 334.2713 332.6473 333.6263 332.7240 330.8293
#> [4,] 443.2797 445.8890 444.9900 446.4053 444.7670 445.8270 446.1643 446.2410
#> [5,] 550.8607 551.7877 553.3040 552.5740 553.5453 551.1150 555.8740 554.8480
#> [6,] 671.0080 667.6123 666.3083 669.9743 675.6830 675.9787 676.6420 674.7367
#> [,81] [,82] [,83] [,84] [,85] [,86] [,87] [,88]
#> [1,] 105.3617 105.0150 105.0593 105.3493 103.9870 105.4387 104.1967 105.0980
#> [2,] 212.9753 213.9893 214.1720 213.4763 212.4887 211.7410 212.7047 212.9403
#> [3,] 332.1467 334.2557 333.9380 332.7860 331.5540 331.9737 334.1657 334.1063
#> [4,] 446.3653 442.3090 444.8933 446.9203 448.1863 446.1877 446.0927 448.2060
#> [5,] 558.4950 556.9250 559.0123 557.1283 555.6883 553.0920 554.9623 553.3000
#> [6,] 671.2343 673.6113 676.7353 677.4947 674.2803 676.6457 674.8907 673.0920
#> [,89] [,90] [,91] [,92] [,93] [,94] [,95] [,96]
#> [1,] 104.7233 106.6673 106.9497 104.7547 105.0827 105.3000 105.2130 104.7810
#> [2,] 212.1293 213.7727 213.4973 213.4640 213.1707 212.8360 211.9633 208.7987
#> [3,] 333.8570 336.5057 333.7757 334.7063 333.2027 333.3697 332.1660 330.7990
#> [4,] 446.9607 446.4583 446.6307 448.4503 448.0997 446.2220 445.8603 443.3197
#> [5,] 555.8330 555.1780 556.5237 554.7757 551.0763 553.9157 553.4520 550.7607
#> [6,] 674.8980 671.6417 672.5317 672.2803 671.0003 672.8790 674.7430 672.7247
#> [,97] [,98] [,99] [,100] [,101] [,102] [,103] [,104]
#> [1,] 104.5387 105.1327 105.1697 104.0570 106.3853 104.0797 104.4013 102.1813
#> [2,] 211.5063 209.4770 211.8597 213.2620 212.2837 211.7733 209.3907 208.8560
#> [3,] 332.4763 332.6367 330.2320 329.0633 327.7353 327.0317 326.8933 327.0880
#> [4,] 443.8383 442.6733 440.8430 444.9053 442.4323 438.7657 435.7203 436.7387
#> [5,] 551.4177 548.2610 549.3907 553.8383 549.5407 544.3870 544.4403 543.0117
#> [6,] 669.7910 672.0043 672.3397 668.7403 662.6333 666.2970 664.6327 659.9180
#> [,105] [,106] [,107] [,108] [,109] [,110] [,111] [,112]
#> [1,] 103.4417 101.7970 102.8717 102.3887 100.4190 101.1617 98.61133 98.42933
#> [2,] 208.3403 206.5063 206.7773 206.6450 205.2550 201.7470 201.98800 199.57000
#> [3,] 326.7383 324.4573 322.2523 318.6133 319.2347 318.6657 314.18900 313.58533
#> [4,] 438.1527 432.7040 433.1373 430.0993 427.1347 421.5907 421.58900 420.52567
#> [5,] 539.7383 538.8133 537.6860 532.2233 531.4020 527.5887 526.91933 519.80200
#> [6,] 660.1303 656.2373 654.1950 652.3183 647.8210 643.3813 640.79033 632.11967
#> [,113] [,114] [,115] [,116] [,117] [,118] [,119]
#> [1,] 98.5760 98.3410 98.46733 95.1490 94.7110 95.27433 94.88433
#> [2,] 200.5510 198.7677 197.03300 194.1447 193.3830 193.66467 192.51267
#> [3,] 310.7470 311.7763 306.24567 305.3137 303.6507 299.22133 301.25333
#> [4,] 417.2103 414.8137 415.02733 407.9040 404.0217 401.89667 397.83033
#> [5,] 518.6207 515.2290 511.55500 506.8747 503.2640 498.34400 494.06167
#> [6,] 633.5637 627.8190 623.21133 619.9967 613.5513 606.01267 605.92100
#> [,120] [,121] [,122] [,123] [,124] [,125] [,126]
#> [1,] 93.62133 92.46567 92.11533 91.30867 89.5390 88.2810 86.13633
#> [2,] 190.63300 186.45567 186.05433 182.30533 182.3337 180.5693 180.50633
#> [3,] 296.55200 294.46667 291.52000 288.69967 286.6547 283.8240 282.00933
#> [4,] 395.28733 391.98100 386.99833 387.28467 379.8793 377.2287 374.34933
#> [5,] 491.78467 484.60533 486.67233 479.56767 475.9010 472.1310 464.54333
#> [6,] 599.88400 593.00650 587.40150 586.38900 581.4985 574.1510 566.49250
#> [,127] [,128] [,129] [,130] [,131] [,132] [,133]
#> [1,] 86.1620 86.81733 85.95767 84.0670 86.2120 83.68333 82.56867
#> [2,] 180.2127 175.21100 171.65000 170.4167 170.3740 169.40700 164.89000
#> [3,] 279.3910 274.85267 271.53567 268.8547 265.9293 261.68533 260.63400
#> [4,] 368.4563 365.84700 360.04467 359.2973 354.6593 350.36133 346.36533
#> [5,] 457.9090 455.22167 449.28400 446.3457 442.7517 438.25067 432.26667
#> [6,] 560.2900 559.46250 550.27850 545.5435 542.7690 528.92800 528.12900
#> [,134] [,135] [,136] [,137] [,138] [,139] [,140]
#> [1,] 82.70533 81.26033 78.75233 76.67533 77.9530 77.5070 76.1640
#> [2,] 164.14133 163.17333 160.98933 159.66533 157.7463 155.1347 153.2393
#> [3,] 258.69100 254.81867 250.93133 247.61267 247.5203 244.7883 241.2600
#> [4,] 343.82067 341.66833 334.16667 330.03433 328.7680 324.6757 324.6210
#> [5,] 427.76167 422.73000 416.02133 413.34567 408.6227 403.8053 400.3250
#> [6,] 519.65350 516.54950 512.45650 502.48600 499.6525 495.0010 486.4970
#> [,141] [,142] [,143] [,144] [,145] [,146] [,147]
#> [1,] 75.6460 76.4370 74.57033 72.8790 72.80267 71.0520 70.21367
#> [2,] 151.5230 149.1967 147.49467 147.4900 145.43367 144.8190 142.43867
#> [3,] 240.2400 238.4173 233.56600 231.2630 229.50400 228.8280 225.52900
#> [4,] 318.5067 314.8400 312.79333 309.2847 306.05233 304.2447 299.30133
#> [5,] 393.7733 393.7857 386.53867 383.8693 378.65500 373.6480 372.70233
#> [6,] 481.7395 476.4720 472.37900 469.2545 466.99550 457.7630 452.32300
#> [,148] [,149] [,150] [,151] [,152] [,153] [,154]
#> [1,] 69.60533 69.98967 68.7800 68.34233 67.68467 67.2770 67.04833
#> [2,] 142.68967 142.88100 139.8377 135.47933 135.25267 135.8457 133.55900
#> [3,] 221.65767 218.32400 216.5063 213.21500 215.24567 208.5493 208.86967
#> [4,] 295.51333 292.25100 290.5580 286.98100 285.83633 283.1347 276.48133
#> [5,] 368.87433 366.15533 362.8997 357.86333 354.96700 352.3707 344.31567
#> [6,] 450.48350 445.14500 444.2740 435.22800 430.33300 424.7200 420.74800
#> [,155] [,156] [,157] [,158] [,159] [,160] [,161] [,162]
#> [1,] 65.3130 64.5090 63.50567 62.18367 62.0450 62.02733 61.7990 60.5280
#> [2,] 133.3177 132.8240 128.93033 125.20300 124.7397 124.71667 121.6783 120.9017
#> [3,] 210.3090 205.6747 203.98400 200.07500 197.6877 197.21600 193.0293 191.2113
#> [4,] 275.8033 272.5720 270.89733 266.44633 265.4230 262.04033 259.8753 256.7253
#> [5,] 342.1013 339.0143 336.71533 334.59300 326.0983 324.69400 320.5670 315.9307
#> [6,] 418.4665 414.0175 408.32400 403.85400 405.0045 394.33500 389.9775 384.4910
#> [,163] [,164] [,165] [,166] [,167] [,168] [,169]
#> [1,] 59.3420 59.1250 57.7480 57.44667 57.74267 56.2750 55.49233
#> [2,] 121.4060 117.6677 117.0410 115.94100 112.22900 112.7243 111.67267
#> [3,] 190.7627 186.5793 183.0927 182.39100 179.87400 177.1340 176.43600
#> [4,] 250.2083 249.2670 245.6137 240.69333 240.84900 233.9953 233.73500
#> [5,] 312.7320 307.9437 306.3863 298.34667 298.57433 296.0523 292.49933
#> [6,] 382.3370 375.0820 369.0990 366.06300 362.45350 358.9965 352.14300
#> [,170] [,171] [,172] [,173] [,174] [,175] [,176]
#> [1,] 54.40933 53.83267 53.26333 52.45733 52.1400 49.78433 49.6230
#> [2,] 109.69833 107.64067 108.05067 105.22000 102.9530 102.75833 100.6280
#> [3,] 173.72833 170.26000 168.65033 166.09067 164.4463 160.81267 158.9110
#> [4,] 230.80467 228.26600 223.37333 221.35733 218.9017 214.44667 210.0177
#> [5,] 285.46933 282.62833 279.92767 273.34667 267.5543 266.10100 261.7657
#> [6,] 348.20000 347.10650 338.79150 335.34700 330.0400 325.16200 322.0685
#> [,177] [,178] [,179] [,180] [,181]
#> [1,] 48.3380 47.30400 47.16267 46.41233 45.25633
#> [2,] 97.9650 97.35333 96.60167 96.20600 94.61033
#> [3,] 156.7613 154.92067 149.53900 148.52667 145.79333
#> [4,] 206.0153 204.57500 201.48433 198.86733 195.86733
#> [5,] 259.4020 256.20067 252.06567 248.06700 246.95200
#> [6,] 315.6455 312.32950 307.51850 302.32550 294.64950
#>
#> $wavelength
#> [1] 405.0 405.5 406.0 406.5 407.0 407.5 408.0 408.5 409.0 409.5 410.0 410.5
#> [13] 411.0 411.5 412.0 412.5 413.0 413.5 414.0 414.5 415.0 415.5 416.0 416.5
#> [25] 417.0 417.5 418.0 418.5 419.0 419.5 420.0 420.5 421.0 421.5 422.0 422.5
#> [37] 423.0 423.5 424.0 424.5 425.0 425.5 426.0 426.5 427.0 427.5 428.0 428.5
#> [49] 429.0 429.5 430.0 430.5 431.0 431.5 432.0 432.5 433.0 433.5 434.0 434.5
#> [61] 435.0 435.5 436.0 436.5 437.0 437.5 438.0 438.5 439.0 439.5 440.0 440.5
#> [73] 441.0 441.5 442.0 442.5 443.0 443.5 444.0 444.5 445.0 445.5 446.0 446.5
#> [85] 447.0 447.5 448.0 448.5 449.0 449.5 450.0 450.5 451.0 451.5 452.0 452.5
#> [97] 453.0 453.5 454.0 454.5 455.0 455.5 456.0 456.5 457.0 457.5 458.0 458.5
#> [109] 459.0 459.5 460.0 460.5 461.0 461.5 462.0 462.5 463.0 463.5 464.0 464.5
#> [121] 465.0 465.5 466.0 466.5 467.0 467.5 468.0 468.5 469.0 469.5 470.0 470.5
#> [133] 471.0 471.5 472.0 472.5 473.0 473.5 474.0 474.5 475.0 475.5 476.0 476.5
#> [145] 477.0 477.5 478.0 478.5 479.0 479.5 480.0 480.5 481.0 481.5 482.0 482.5
#> [157] 483.0 483.5 484.0 484.5 485.0 485.5 486.0 486.5 487.0 487.5 488.0 488.5
#> [169] 489.0 489.5 490.0 490.5 491.0 491.5 492.0 492.5 493.0 493.5 494.0 494.5
#> [181] 495.0
#>
#> $label
#> , , 1
#>
#> [,1]
#> .wavelength "lambda/nm"
#> spc "I[fl]/"a.u.""
#> filename "filename"
#> c "c / (mg / l)"
#>
#>
#> attr(,"header")
#> attr(,"header")$description
#> [1] "MATLAB 5.0 MAT-file, Platform: unix, Software: R v4.4.0, Created on: Mon May 27 17:09:32 2024 "
#>
#> attr(,"header")$version
#> [1] "5"
#>
#> attr(,"header")$endian
#> [1] "little"
#>
## ASCII export & import
write_txt_long(flu,
file = paste0(tempdir(), "/flu.txt"),
cols = c(".wavelength", "spc", "c"),
order = c("c", ".wavelength"),
decreasing = c(FALSE, TRUE)
)
read_txt_long(
file = paste0(tempdir(), "/flu.txt"),
cols = list(
.wavelength = expression(lambda / nm),
spc = "I / a.u", c = expression("/"(c, (mg / l)))
)
)
#> hyperSpec object
#> 6 spectra
#> 3 data columns
#> 181 data points / spectrum
write_txt_wide(flu,
file = paste0(tempdir(), "/flu.txt"),
cols = c("c", "spc"),
col.labels = TRUE, header.lines = 2, row.names = TRUE
)
write_txt_wide(flu,
file = paste0(tempdir(), "/flu.txt"),
col.labels = FALSE, row.names = FALSE
)
read_txt_wide(
file = paste0(tempdir(), "/flu.txt"),
# give columns in same order as they are in the file
cols = list(
spc = "I / a.u",
c = expression("/"("c", "mg/l")),
filename = "filename",
# plus wavelength label last
.wavelength = "lambda / nm"
),
header = TRUE
)
#> Warning: $filename already exists. => Skipping file.keep.name
#> hyperSpec object
#> 6 spectra
#> 3 data columns
#> 181 data points / spectrum