x_test
Example data for `MetNet`: data input
Bundled with MetNet · exported, loads via data()
Class
data.frame
Dimensions
36 × 122
Missing
0
Format
rda · gzip
version 2 · 33 KB
File
data/x_test.RData
Fingerprint
0cdeeeae
Format documented
Yes
Source
data("peaklist_example", package = "MetNet") peaklist[, 3:dim(peaklist)[2]] <- apply(peaklist[, 3:dim(peaklist)[2]], 2, function(x) x / quantile(x, 0.75)) peaklist[, 3:dim(peaklist)[2]] <- log2(peaklist[, 3:dim(peaklist)[2]] + 1) ## function to add specific features of x (defined by m/z and retention ## time) to x_test addTo_x_test <- function(x_test, x, mz, rt) mzX <- x[, "mz"] rtX <- x[, "rt"] new <- x[mzX>(mz-0.01) & mzX<(mz+0.01) & rtX>(rt-0.01) & rtX<(rt+0.01), ] x_test <- rbind(x_test, new) return(x_test) ## Nicotianoside IX M+Na+ 739.3515 rt 426.1241 x_test <- peaklist[peaklist[, "mz"] > 739.35 & peaklist[, "mz"] < 739.36 & peaklist[, "rt"] > 426.18 & peaklist[, "rt"] < 426.2, ] ## Lyciumoside I M+Na+ 653.3497 x_test <- addTo_x_test(x_test, peaklist, mz = 653.3497, rt = 417.46) ## LyciumosideII M+Na+ 815.4043 x_test <- addTo_x_test(x_test, peaklist, mz = 815.40, rt = 383.60) ## Nicotianoside X M+Na+ 825.3503 x_test <- addTo_x_test(x_test, peaklist, mz = 825.35, rt = 434.38) ## Nicotianoside XI M+Na+ 901.39913 x_test <- addTo_x_test(x_test, peaklist, mz = 901.40, rt = 391.15) ## NicotianosideXII M+Na+ 987.4037 x_test <- addTo_x_test(x_test, peaklist, mz = 987.40, rt = 398.46) ## NicotianosideXIII M+Na+ 1074.4042 x_test <- addTo_x_test(x_test, peaklist, mz = 1074.40, rt = 404.92) ## Lyciumoside IV M+Na+ 799.4091 x_test <- addTo_x_test(x_test, peaklist, mz = 799.40, rt = 411.23) ## Nicotianoside I M+Na+ 885.4084 x_test <- addTo_x_test(x_test, peaklist, mz = 885.41, rt = 420.12) ## Nicotianoside II M+Na+ 971.4074 x_test <- addTo_x_test(x_test, peaklist, mz = 971.41, rt = 428.81) ## Nicotianoside III M+Na+ 945.4653 x_test <- addTo_x_test(x_test, peaklist, mz = 945.46, rt = 402.75) ## Nicotianoside IV M+Na+ 1031.4645 x_test <- addTo_x_test(x_test, peaklist, mz = 1031.46, rt = 412.40) ## Nicotianoside V M+Na+ 1117.4681 x_test <- addTo_x_test(x_test, peaklist, mz = 1117.46, rt = 422.19) ## Attenoside (or DTG956) M+Na+ 961.4601 x_test <- addTo_x_test(x_test, peaklist, mz = 961.46, rt = 380.46) ## DTG1042/Nicotianoside VI M+Na+ 1047.4525 x_test <- addTo_x_test(x_test, peaklist, mz = 1047.46, rt = 387.28) ## NicotianosideVII M+Na+ 1133.4624 x_test <- addTo_x_test(x_test, peaklist, mz = 1133.46, rt = 394.70) ## NicotianosideVIII M+Na+ 1219.4619 x_test <- addTo_x_test(x_test, peaklist, mz = 1219.46, rt = 400.99) ## N-coumaroylputrescine [M+H+]+ 235.143 x_test <- addTo_x_test(x_test, peaklist, mz = 235.14, rt = 193.85) ## N',N''-coumaroyl,caffeoylspermidine [M+H+]+ 454.23 x_test <- addTo_x_test(x_test, peaklist, mz = 454.23, rt = 264.43) ## N-caffeoylputrescine isomer 1 [M+H+]+ 251.14 x_test <- addTo_x_test(x_test, peaklist, mz = 251.14, rt = 108.34) ## N-caffeoylputrescine isomer 2 [M+H+]+ 251.14 x_test <- addTo_x_test(x_test, peaklist, mz = 251.14, rt = 143.11) ## N-caffeoylspermidine [M+H+]+ 308.2 x_test <- addTo_x_test(x_test, peaklist, mz = 308.2, rt = 246.71) ## N-feruloylputrescine [M+H+]+ 265.153 x_test <- addTo_x_test(x_test, peaklist, mz = 265.15, rt = 191.55) ## N-feruloyl-spermidine iso1 [M+H+]+ 322.212 x_test <- addTo_x_test(x_test, peaklist, mz = 322.21, rt = 104.13) ## N-feruloyl-spermidine iso2 [M+H+]+ 322.212 x_test <- addTo_x_test(x_test, peaklist, mz = 322.21, rt = 147.98) ## N'-N''-dicaffeoyl -spermidine [M+H+]+ 470.23 x_test <- addTo_x_test(x_test, peaklist, mz = 470.23, rt = 247.15) ## N'-N''-diferuloyl-spermidine/ ##N#,N$-Coumaroyl,sinapoyl spermidine isomer [M+H+]+ 498.260/498.261 x_test <- addTo_x_test(x_test, peaklist, mz = 498.26, rt = 289.05) ## N'-N''-dihydrated-diferuloyl-spermidine [M+H+]+ 502.25 x_test <- addTo_x_test(x_test, peaklist, mz = 502.25, rt = 242.55) ## unknown conjugate [M+H+]+ 411.2012 x_test <- addTo_x_test(x_test, peaklist, mz = 411.20, rt = 211.67) ## N'-N''-caffeoyl,feruloyl spermidine iso1 [M+H+]+ 484.245 x_test <- addTo_x_test(x_test, peaklist, mz = 484.24, rt = 264.44) ## N'-N''-caffeoyl,feruloyl spermidine iso2 [M+H+]+ 484.245 x_test <- addTo_x_test(x_test, peaklist, mz = 484.24, rt = 270.65) ## O -Coumaroylquinic acid isomer 1 [M+H+]+ 339.109 x_test <- addTo_x_test(x_test, p
About this object
Equal-length columns presented as a table, R's standard rectangular format. R object catalogue
Declared attributes
Row names
Yes
Columns
Column
Type
Distinct
Missing
Summary
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3rd Qu.
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Max.
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Std. dev
2.1534
Skewness
0.618
Kurtosis
-0.3778
numeric3600.0827 – 6.7414mean 2.434
Min.
0.0827
1st Qu.
0.9066
Median
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Mean
2.4336
3rd Qu.
3.4052
Max.
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Std. dev
1.8478
Skewness
0.6496
Kurtosis
-0.434
numeric3600.0103 – 5.937mean 1.188
Min.
0.0103
1st Qu.
0.0554
Median
0.3828
Mean
1.1882
3rd Qu.
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Max.
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Std. dev
1.5884
Skewness
1.452
Kurtosis
1.249
Outliers
20 low · 2 high
numeric3600 – 6.9702mean 2.055
Min.
0
1st Qu.
0.4648
Median
1.1054
Mean
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3rd Qu.
3.1477
Max.
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Std. dev
1.9933
Skewness
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Kurtosis
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Zeros
1
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Min.
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1st Qu.
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Median
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Mean
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3rd Qu.
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Max.
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Std. dev
1.3001
Skewness
1.724
Kurtosis
2.122
Zeros
2
Outliers
30 low · 3 high
numeric3600 – 6.475mean 1.934
Min.
0
1st Qu.
0.4696
Median
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Mean
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3rd Qu.
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Max.
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Std. dev
1.8633
Skewness
1.011
Kurtosis
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Zeros
1
Outliers
30 low · 3 high
numeric3600 – 4.7516mean 0.6103
Min.
0
1st Qu.
0.0312
Median
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Mean
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3rd Qu.
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Max.
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Std. dev
0.9825
Skewness
2.516
Kurtosis
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Zeros
1
Outliers
20 low · 2 high
numeric3600.0597 – 7.7191mean 2.508
Min.
0.0597
1st Qu.
0.8265
Median
2.5819
Mean
2.5081
3rd Qu.
3.6974
Max.
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Std. dev
1.9372
Skewness
0.6422
Kurtosis
-0.1591
numeric3600.0435 – 7.0139mean 2.358
Min.
0.0435
1st Qu.
0.5894
Median
2.0561
Mean
2.3585
3rd Qu.
3.7214
Max.
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Std. dev
1.9072
Skewness
0.5763
Kurtosis
-0.5523
numeric3600.0031 – 7.4191mean 2.235
Min.
0.0031
1st Qu.
0.478
Median
1.7094
Mean
2.2354
3rd Qu.
3.3012
Max.
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Std. dev
1.9204
Skewness
0.7769
Kurtosis
-0.1068
numeric3600.1558 – 8.081mean 2.757
Min.
0.1558
1st Qu.
0.9925
Median
2.4492
Mean
2.7566
3rd Qu.
4.3952
Max.
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Std. dev
2.1201
Skewness
0.5421
Kurtosis
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Min.
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1st Qu.
0
Median
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Mean
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3rd Qu.
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Max.
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Std. dev
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Skewness
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Kurtosis
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Zeros
35
numeric3400 – 4.9791mean 0.4597
Min.
0
1st Qu.
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Median
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Mean
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3rd Qu.
0.5818
Max.
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Std. dev
0.9651
Skewness
3.234
Kurtosis
11.32
Zeros
3
Outliers
30 low · 3 high
numeric3600.0008 – 5.2265mean 0.557
Min.
0.0008
1st Qu.
0.0051
Median
0.0376
Mean
0.557
3rd Qu.
0.5958
Max.
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Std. dev
1.1028
Skewness
2.746
Kurtosis
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Outliers
50 low · 5 high
numeric3300 – 5.1304mean 0.5531
Min.
0
1st Qu.
0.0077
Median
0.1522
Mean
0.5531
3rd Qu.
0.4931
Max.
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Std. dev
1.0209
Skewness
2.818
Kurtosis
8.893
Zeros
4
Outliers
60 low · 6 high
numeric3300 – 4.9587mean 0.651
Min.
0
1st Qu.
0.0251
Median
0.1971
Mean
0.651
3rd Qu.
0.8341
Max.
4.9587
Std. dev
1.0754
Skewness
2.362
Kurtosis
5.646
Zeros
4
Outliers
30 low · 3 high
numeric3300 – 4.7716mean 0.7049
Min.
0
1st Qu.
0.0084
Median
0.1518
Mean
0.7049
3rd Qu.
0.9159
Max.
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Std. dev
1.1903
Skewness
2.068
Kurtosis
3.776
Zeros
4
Outliers
30 low · 3 high
numeric3600.0776 – 9.1929mean 3.143
Min.
0.0776
1st Qu.
1.4735
Median
2.5594
Mean
3.1432
3rd Qu.
4.101
Max.
9.1929
Std. dev
2.3682
Skewness
0.9069
Kurtosis
-0.0063
Outliers
10 low · 1 high
numeric3600.0727 – 8.9166mean 3.127
Min.
0.0727
1st Qu.
1.3273
Median
2.8007
Mean
3.1269
3rd Qu.
4.4778
Max.
8.9166
Std. dev
2.3443
Skewness
0.7672
Kurtosis
-0.2548
numeric3600.0606 – 9.1025mean 2.868
Min.
0.0606
1st Qu.
0.9053
Median
2.3468
Mean
2.8682
3rd Qu.
4.4546
Max.
9.1025
Std. dev
2.3502
Skewness
0.833
Kurtosis
-0.1028
numeric3600.1302 – 9.7291mean 3.317
Min.
0.1302
1st Qu.
1.2954
Median
2.8049
Mean
3.3165
3rd Qu.
4.7047
Max.
9.7291
Std. dev
2.4648
Skewness
0.7888
Kurtosis
-0.1332
numeric3600 – 9.3171mean 2.764
Min.
0
1st Qu.
0.8864
Median
2.2191
Mean
2.7636
3rd Qu.
4.2001
Max.
9.3171
Std. dev
2.3772
Skewness
0.8844
Kurtosis
0.0505
Zeros
1
Outliers
10 low · 1 high
numeric3600 – 6.6823mean 1.353
Min.
0
1st Qu.
0.028
Median
0.5705
Mean
1.3535
3rd Qu.
2.3517
Max.
6.6823
Std. dev
1.7289
Skewness
1.325
Kurtosis
0.9157
Zeros
1
Outliers
10 low · 1 high
numeric3500 – 6.5007mean 0.7881
Min.
0
1st Qu.
0.0484
Median
0.3188
Mean
0.7881
3rd Qu.
0.7891
Max.
6.5007
Std. dev
1.2557
Skewness
2.811
Kurtosis
9.388
Zeros
2
Outliers
40 low · 4 high
numeric3600 – 6.6149mean 1.122
Min.
0
1st Qu.
0.0271
Median
0.544
Mean
1.1223
3rd Qu.
1.7542
Max.
6.6149
Std. dev
1.5068
Skewness
1.714
Kurtosis
2.906
Zeros
1
Outliers
10 low · 1 high
numeric3000 – 7.1902mean 0.6068
Min.
0
1st Qu.
0.0126
Median
0.0648
Mean
0.6068
3rd Qu.
0.4833
Max.
7.1902
Std. dev
1.3237
Skewness
3.599
Kurtosis
14.39
Zeros
7
Outliers
60 low · 6 high
numeric3500 – 6.8418mean 0.6414
Min.
0
1st Qu.
0.016
Median
0.0457
Mean
0.6414
3rd Qu.
0.4208
Max.
6.8418
Std. dev
1.3195
Skewness
3.163
Kurtosis
11.17
Zeros
2
Outliers
80 low · 8 high
numeric3600.004 – 6.5179mean 2.617
Min.
0.004
1st Qu.
0.5694
Median
2.4563
Mean
2.6172
3rd Qu.
4.6944
Max.
6.5179
Std. dev
2.2257
Skewness
0.3668
Kurtosis
-1.257
numeric3600 – 6.3302mean 2.232
Min.
0
1st Qu.
0.0581
Median
1.5328
Mean
2.2324
3rd Qu.
4.759
Max.
6.3302
Std. dev
2.3111
Skewness
0.5121
Kurtosis
-1.396
Zeros
1
numeric3600.0007 – 6.5909mean 2.507
Min.
0.0007
1st Qu.
0.174
Median
1.8759
Mean
2.507
3rd Qu.
4.7447
Max.
6.5909
Std. dev
2.3212
Skewness
0.4531
Kurtosis
-1.302
numeric3600 – 6.6584mean 2.329
Min.
0
1st Qu.
0.1003
Median
1.5683
Mean
2.3288
3rd Qu.
4.5001
Max.
6.6584
Std. dev
2.2993
Skewness
0.5737
Kurtosis
-1.203
Zeros
1
numeric3500 – 6.5205mean 2.729
Min.
0
1st Qu.
0.0284
Median
2.2017
Mean
2.7289
3rd Qu.
5.176
Max.
6.5205
Std. dev
2.5591
Skewness
0.2066
Kurtosis
-1.706
Zeros
2
numeric3400 – 6.1766mean 1.11
Min.
0
1st Qu.
0.0279
Median
0.1622
Mean
1.1096
3rd Qu.
1.1809
Max.
6.1766
Std. dev
1.8906
Skewness
1.769
Kurtosis
1.697
Zeros
3
Outliers
50 low · 5 high
numeric3500 – 6.1491mean 0.9162
Min.
0
1st Qu.
0.046
Median
0.1705
Mean
0.9162
3rd Qu.
0.7806
Max.
6.1491
Std. dev
1.5366
Skewness
1.927
Kurtosis
2.686
Zeros
2
Outliers
60 low · 6 high
numeric3000 – 5.8503mean 0.7564
Min.
0
1st Qu.
0.0088
Median
0.0618
Mean
0.7564
3rd Qu.
0.8565
Max.
5.8503
Std. dev
1.4451
Skewness
2.404
Kurtosis
5.133
Zeros
7
Outliers
30 low · 3 high
numeric3400 – 8.207mean 1.575
Min.
0
1st Qu.
0.1517
Median
0.3473
Mean
1.5745
3rd Qu.
1.768
Max.
8.207
Std. dev
2.2683
Skewness
1.562
Kurtosis
1.159
Zeros
3
Outliers
50 low · 5 high
numeric3400 – 6.84mean 1.223
Min.
0
1st Qu.
0.1147
Median
0.2746
Mean
1.2232
3rd Qu.
1.2035
Max.
6.84
Std. dev
1.9269
Skewness
1.725
Kurtosis
1.639
Zeros
3
Outliers
50 low · 5 high
numeric3200 – 10.59mean 2.152
Min.
0
1st Qu.
0.1136
Median
0.4896
Mean
2.1517
3rd Qu.
3.2364
Max.
10.59
Std. dev
2.8046
Skewness
1.289
Kurtosis
0.691
Zeros
5
Outliers
20 low · 2 high
numeric3200 – 10.7342mean 2.009
Min.
0
1st Qu.
0.0882
Median
0.7043
Mean
2.0088
3rd Qu.
3.2562
Max.
10.7342
Std. dev
2.7462
Skewness
1.492
Kurtosis
1.385
Zeros
5
Outliers
20 low · 2 high
numeric3300 – 10.7097mean 2.296
Min.
0
1st Qu.
0.0554
Median
0.7125
Mean
2.2956
3rd Qu.
3.1623
Max.
10.7097
Std. dev
2.891
Skewness
1.226
Kurtosis
0.4691
Zeros
4
Outliers
20 low · 2 high
numeric3200 – 10.2949mean 2.038
Min.
0
1st Qu.
0.0814
Median
0.5733
Mean
2.0384
3rd Qu.
2.6804
Max.
10.2949
Std. dev
2.6973
Skewness
1.391
Kurtosis
0.985
Zeros
5
Outliers
20 low · 2 high
numeric3400 – 10.801mean 2.269
Min.
0
1st Qu.
0.1032
Median
0.801
Mean
2.2693
3rd Qu.
3.2761
Max.
10.801
Std. dev
2.8936
Skewness
1.287
Kurtosis
0.6201
Zeros
3
Outliers
20 low · 2 high
numeric3400 – 6.1272mean 0.3701
Min.
0
1st Qu.
0.0107
Median
0.0465
Mean
0.3701
3rd Qu.
0.1835
Max.
6.1272
Std. dev
1.1014
Skewness
4.202
Kurtosis
18.23
Zeros
3
Outliers
40 low · 4 high
numeric2900 – 5.0783mean 0.3335
Min.
0
1st Qu.
0.0011
Median
0.0481
Mean
0.3335
3rd Qu.
0.1668
Max.
5.0783
Std. dev
0.9128
Skewness
4.069
Kurtosis
17.57
Zeros
8
Outliers
40 low · 4 high
numeric3200 – 5.5483mean 0.3974
Min.
0
1st Qu.
0.0097
Median
0.081
Mean
0.3974
3rd Qu.
0.255
Max.
5.5483
Std. dev
0.9991
Skewness
3.996
Kurtosis
16.98
Zeros
5
Outliers
40 low · 4 high
numeric3100 – 4.9389mean 0.3207
Min.
0
1st Qu.
0.0059
Median
0.0462
Mean
0.3207
3rd Qu.
0.1607
Max.
4.9389
Std. dev
0.8799
Skewness
4.154
Kurtosis
18.3
Zeros
6
Outliers
40 low · 4 high
numeric3400 – 5.3523mean 0.5091
Min.
0
1st Qu.
0.0228
Median
0.1174
Mean
0.5091
3rd Qu.
0.4394
Max.
5.3523
Std. dev
1.0179
Skewness
3.27
Kurtosis
11.83
Zeros
3
Outliers
50 low · 5 high
numeric3600 – 6.3204mean 1.636
Min.
0
1st Qu.
0.1154
Median
1.1109
Mean
1.6361
3rd Qu.
2.1038
Max.
6.3204
Std. dev
1.9393
Skewness
1.217
Kurtosis
0.2417
Zeros
1
Outliers
30 low · 3 high
numeric3200 – 6.8315mean 1.603
Min.
0
1st Qu.
0.0894
Median
0.7079
Mean
1.6029
3rd Qu.
2.1058
Max.
6.8315
Std. dev
2.0726
Skewness
1.238
Kurtosis
0.2248
Zeros
5
Outliers
30 low · 3 high
numeric3300 – 6.9219mean 1.829
Min.
0
1st Qu.
0.06
Median
0.9536
Mean
1.8295
3rd Qu.
2.6358
Max.
6.9219
Std. dev
2.1499
Skewness
1.07
Kurtosis
-0.2349
Zeros
4
Outliers
10 low · 1 high
numeric3300 – 7.0135mean 1.984
Min.
0
1st Qu.
0.2392
Median
1.3434
Mean
1.9845
3rd Qu.
2.7373
Max.
7.0135
Std. dev
2.2293
Skewness
1.024
Kurtosis
-0.3511
Zeros
4
Outliers
20 low · 2 high
numeric3500 – 7.195mean 2.009
Min.
0
1st Qu.
0.2319
Median
1.2314
Mean
2.0086
3rd Qu.
2.6801
Max.
7.195
Std. dev
2.1713
Skewness
1.036
Kurtosis
-0.2527
Zeros
2
Outliers
20 low · 2 high
numeric3400 – 5.8481mean 1.182
Min.
0
1st Qu.
0.0315
Median
0.605
Mean
1.1823
3rd Qu.
1.8854
Max.
5.8481
Std. dev
1.5581
Skewness
1.464
Kurtosis
1.391
Zeros
3
Outliers
20 low · 2 high
numeric3600 – 4.81mean 0.9793
Min.
0
1st Qu.
0.1019
Median
0.337
Mean
0.9793
3rd Qu.
1.7219
Max.
4.81
Std. dev
1.2684
Skewness
1.413
Kurtosis
1.111
Zeros
1
Outliers
10 low · 1 high
numeric3500 – 5.0037mean 0.8794
Min.
0
1st Qu.
0.0933
Median
0.6004
Mean
0.8794
3rd Qu.
1.1388
Max.
5.0037
Std. dev
1.1511
Skewness
1.852
Kurtosis
3.413
Zeros
2
Outliers
20 low · 2 high
numeric3400 – 4.9363mean 0.9603
Min.
0
1st Qu.
0.1617
Median
0.4075
Mean
0.9603
3rd Qu.
1.2763
Max.
4.9363
Std. dev
1.2519
Skewness
1.779
Kurtosis
2.635
Zeros
3
Outliers
30 low · 3 high
numeric3600 – 5.4986mean 1.273
Min.
0
1st Qu.
0.1878
Median
0.6574
Mean
1.273
3rd Qu.
2.0496
Max.
5.4986
Std. dev
1.4853
Skewness
1.323
Kurtosis
0.9251
Zeros
1
Outliers
20 low · 2 high
numeric3600.023 – 8.8956mean 3.745
Min.
0.023
1st Qu.
2.0978
Median
3.8869
Mean
3.745
3rd Qu.
5.0051
Max.
8.8956
Std. dev
2.385
Skewness
0.3138
Kurtosis
-0.7347
numeric3600.082 – 9.4033mean 3.302
Min.
0.082
1st Qu.
1.2741
Median
2.7872
Mean
3.3018
3rd Qu.
4.9596
Max.
9.4033
Std. dev
2.3714
Skewness
0.6177
Kurtosis
-0.3821
numeric3600.0743 – 9.1308mean 3.418
Min.
0.0743
1st Qu.
1.8051
Median
2.9978
Mean
3.4178
3rd Qu.
4.8065
Max.
9.1308
Std. dev
2.3101
Skewness
0.5348
Kurtosis
-0.5114
numeric3600.0501 – 9.1951mean 3.549
Min.
0.0501
1st Qu.
1.8973
Median
3.4374
Mean
3.5485
3rd Qu.
4.9415
Max.
9.1951
Std. dev
2.3684
Skewness
0.4998
Kurtosis
-0.556
numeric3600.5781 – 9.4472mean 3.754
Min.
0.5781
1st Qu.
1.7211
Median
3.6616
Mean
3.7537
3rd Qu.
5.2118
Max.
9.4472
Std. dev
2.2605
Skewness
0.4727
Kurtosis
-0.5481
numeric3600.0007 – 6.3199mean 1.408
Min.
0.0007
1st Qu.
0.1909
Median
0.5859
Mean
1.4077
3rd Qu.
1.8739
Max.
6.3199
Std. dev
1.7095
Skewness
1.298
Kurtosis
0.5599
Outliers
30 low · 3 high
numeric3500 – 5.1727mean 0.9897
Min.
0
1st Qu.
0.1432
Median
0.3423
Mean
0.9897
3rd Qu.
1.5938
Max.
5.1727
Std. dev
1.3675
Skewness
1.732
Kurtosis
2.266
Zeros
2
Outliers
30 low · 3 high
numeric3500 – 5.2686mean 0.6197
Min.
0
1st Qu.
0.0398
Median
0.1739
Mean
0.6197
3rd Qu.
0.7237
Max.
5.2686
Std. dev
1.0688
Skewness
2.758
Kurtosis
8.253
Zeros
2
Outliers
30 low · 3 high
numeric3600 – 6.432mean 1.434
Min.
0
1st Qu.
0.1107
Median
0.5556
Mean
1.4339
3rd Qu.
2.009
Max.
6.432
Std. dev
1.7574
Skewness
1.268
Kurtosis
0.5698
Zeros
1
Outliers
30 low · 3 high
numeric3200 – 4.8026mean 0.677
Min.
0
1st Qu.
0.052
Median
0.257
Mean
0.677
3rd Qu.
0.8878
Max.
4.8026
Std. dev
1.0098
Skewness
2.34
Kurtosis
5.904
Zeros
5
Outliers
30 low · 3 high
numeric3600.0343 – 9.3427mean 3.528
Min.
0.0343
1st Qu.
1.855
Median
3.4128
Mean
3.5279
3rd Qu.
4.7088
Max.
9.3427
Std. dev
2.3037
Skewness
0.5323
Kurtosis
-0.3721
Outliers
10 low · 1 high
numeric3600.0673 – 9.8166mean 3.254
Min.
0.0673
1st Qu.
1.3636
Median
2.8708
Mean
3.2536
3rd Qu.
4.6841
Max.
9.8166
Std. dev
2.4326
Skewness
0.7624
Kurtosis
-0.2087
Outliers
10 low · 1 high
numeric3600.0649 – 9.172mean 2.957
Min.
0.0649
1st Qu.
1.1681
Median
2.9028
Mean
2.957
3rd Qu.
4.4365
Max.
9.172
Std. dev
2.2247
Skewness
0.8021
Kurtosis
-0.0109
numeric3600.1341 – 9.4128mean 3.725
Min.
0.1341
1st Qu.
1.853
Median
3.7162
Mean
3.7252
3rd Qu.
5.0034
Max.
9.4128
Std. dev
2.2529
Skewness
0.3908
Kurtosis
-0.4365
numeric3600.1226 – 9.7943mean 3.454
Min.
0.1226
1st Qu.
1.2601
Median
3.0949
Mean
3.4541
3rd Qu.
5.1094
Max.
9.7943
Std. dev
2.4208
Skewness
0.5655
Kurtosis
-0.4011
Same structure in 1 other dataset
These datasets share the same columns and types but hold different data.
Version history
| Version | Released | Size | Change | Stored as | Confidence |
|---|---|---|---|---|---|
| 3.23 | 2026-04-28 | 36 × 122 | Unchanged | rda · gzip version 2 · 33 KB | exact |
| 3.22 | 2025-10-29 | 36 × 122 | Unchanged | rda · gzip version 2 · 33 KB | exact |
| 3.21 | 2025-10-10 | 36 × 122 | Unchanged | rda · gzip version 2 · 33 KB | exact |
| 3.20 | 2024-10-29 | 36 × 122 | Unchanged | rda · gzip version 2 · 33 KB | exact |
| 3.19 | 2024-04-30 | 36 × 122 | Unchanged | rda · gzip version 2 · 33 KB | exact |
| 3.18 | 2023-10-24 | 36 × 122 | Unchanged | rda · gzip version 2 · 33 KB | exact |
| 3.17 | 2023-04-25 | 36 × 122 | Unchanged | rda · gzip version 2 · 33 KB | exact |
| 3.16 | 2022-11-01 | 36 × 122 | Unchanged | rda · gzip version 2 · 33 KB | exact |
| 3.15 | 2022-04-26 | 36 × 122 | Unchanged | rda · gzip version 2 · 33 KB | exact |
| 3.14 | 2022-04-09 | 36 × 122 | Unchanged | rda · gzip version 2 · 33 KB | exact |
| 3.13 | 2021-05-19 | 36 × 122 | Unchanged | rda · gzip version 2 · 33 KB | exact |
| 3.12 | 2020-10-27 | 36 × 122 | Unchanged | rda · gzip version 2 · 33 KB | exact |
| 3.11 | 2020-04-27 | 36 × 122 | Unchanged | rda · gzip version 2 · 33 KB | exact |
| 3.10 | 2020-03-07 | 36 × 122 | Unchanged | rda · gzip version 2 · 33 KB | exact |
| 3.9 | 2019-05-02 | 36 × 122 | Unchanged | rda · gzip version 2 · 33 KB | exact |
| 3.8 | 2019-01-04 | 36 × 122 | – | rda · gzip version 2 · 33 KB | exact |