ohorizon: O-horizon of the Kola Data
In StatDA: Statistical Analysis for Environmental Data
Description
Usage
Format
Author(s)
Source
References
Examples
Description
The Kola Data were collected in the Kola Project (1993-1998,
Geological Surveys of Finland (GTK) and Norway (NGU) and Central
Kola Expedition (CKE), Russia). More than 600 samples in five
different layers were analysed, this dataset contains the O-horizon.
Usage
1
Format
A data frame with 617 observations on the following 85 variables.
IDa numeric vector
XCOOa numeric vector
YCOOa numeric vector
ELEVa numeric vector
COUNa factor with levels FIN NOR RUS
X.ASPa factor with levels -9999 E FLAT N NE NW NW S SE SW W
AoMEANa numeric vector
HUMNOa numeric vector
HUMTHIa numeric vector
GROUNDVEGa factor with levels BLUEBERRY CARLIN_HEATHER EMPETRUM GRASS LICHEN MOSS SHRUBS WHITE_LICHEN
TREELAYa factor with levels BIPI BIPISPR BIRCH BIRCHdense BISPR BISPRPI MIX PIBI PIBISPR PINE PISPR PISPRBI SHRUBS SPARCEBI SPARCEPI SPRBI SPRBIPI SPRPI SPRPIBI SPRUCE WILLOW
VEG_ZONEa factor with levels BOREAL_FOREST DWARF_SHRUB_TUNDRA FOREST_TUNDRA SHRUB_TUNDRA TUNDRA
LITOa numeric vector
Aga numeric vector
Ala numeric vector
Al_AAa numeric vector
Asa numeric vector
Aua numeric vector
Ba numeric vector
Baa numeric vector
Ba_AAa numeric vector
Bea numeric vector
Bia numeric vector
Bra numeric vector
Ca numeric vector
Caa numeric vector
Ca_AAa numeric vector
Cda numeric vector
Cd_AAa numeric vector
Cla numeric vector
Coa numeric vector
Co_AAa numeric vector
Conda numeric vector
Cra numeric vector
Cr_AAa numeric vector
Cua numeric vector
Cu_AAa numeric vector
Fa numeric vector
Fea numeric vector
Fe_AAa numeric vector
Ha numeric vector
Hga numeric vector
Ka numeric vector
K_AAa numeric vector
Laa numeric vector
LOIa numeric vector
Mga numeric vector
Mg_AAa numeric vector
Mna numeric vector
Mn_AAa numeric vector
Moa numeric vector
Na numeric vector
Naa numeric vector
Na_AAa numeric vector
Nia numeric vector
Ni_AAa numeric vector
NO3a numeric vector
Pa numeric vector
P_AAa numeric vector
Pba numeric vector
Pb_AAa numeric vector
Pda numeric vector
pHa numeric vector
PO4a numeric vector
Pta numeric vector
Rba numeric vector
Sa numeric vector
S_AAa numeric vector
Sba numeric vector
Sca numeric vector
Sea numeric vector
Sia numeric vector
Si_AAa numeric vector
SO4a numeric vector
Sra numeric vector
Sr_AAa numeric vector
Tha numeric vector
Ti_AAa numeric vector
Tla numeric vector
Ua numeric vector
Va numeric vector
V_AAa numeric vector
Ya numeric vector
Zna numeric vector
Zn_AAa numeric vector
Author(s)
Peter Filzmoser <P.Filzmoser@tuwien.ac.at>
http://cstat.tuwien.ac.at/filz/
Source
Kola Project (1993-1998)
References
Reimann C, ?yr?s M, Chekushin V, Bogatyrev I, Boyd R, Caritat P de, Dutter R,
Finne TE, Halleraker JH, J?ger ?, Kashulina G, Lehto O, Niskavaara H, Pavlov V,
R?is?nen ML, Strand T, Volden T. Environmental Geochemical Atlas of the Central
Barents Region. NGU-GTK-CKE Special Publication, Geological Survey of Norway,
Trondheim, Norway, 1998.
Examples
1
2
Example output
Loading required package: geoR
--------------------------------------------------------------
Analysis of Geostatistical Data
For an Introduction to geoR go to http://www.leg.ufpr.br/geoR
geoR version 1.7-5.2.1 (built on 2016-05-02) is now loaded
--------------------------------------------------------------
Loading required package: sgeostat
Warning messages:
1: no DISPLAY variable so Tk is not available
2: In rgl.init(initValue, onlyNULL) : RGL: unable to open X11 display
3: 'rgl_init' failed, running with rgl.useNULL = TRUE
4: .onUnload failed in unloadNamespace() for 'rgl', details:
call: fun(...)
error: object 'rgl_quit' not found
'data.frame': 617 obs. of 85 variables:
$ ID : int 1 2 3 4 5 6 7 8 9 10 ...
$ XCOO : int 547960 770025 498651 795152 437050 752106 531687 537800 752013 688999 ...
$ YCOO : int 7690000 7680000 7670000 7570000 7860000 7630000 7630000 7880000 7690000 7610000 ...
$ ELEV : int 135 140 255 240 80 140 195 40 120 90 ...
$ COUN : Factor w/ 3 levels "FIN","NOR","RUS": 1 3 1 3 2 3 1 2 3 3 ...
$ X.ASP : Factor w/ 11 levels "-9999","E","FLAT",..: 6 10 4 5 4 2 2 2 3 3 ...
$ AoMEAN : num 2.4 6 3.1 1 15 3 0.5 8 2 3 ...
$ HUMNO : int 5 5 5 NA 5 6 9 5 6 7 ...
$ HUMTHI : num 3 6 3.4 NA 3 2 0.6 3 2 2 ...
$ GROUNDVEG: Factor w/ 9 levels "","BLUEBERRY",..: 4 8 2 9 8 8 8 8 9 8 ...
$ TREELAY : Factor w/ 22 levels "","BIPI","BIPISPR",..: 9 4 4 9 4 2 9 11 1 10 ...
$ VEG_ZONE : Factor w/ 6 levels "","BOREAL_FOREST",..: 2 4 4 2 4 2 2 6 6 1 ...
$ LITO : int 20 4 31 NA 10 20 31 10 4 1 ...
$ Ag : num 0.124 0.13 0.124 0.309 0.04 0.421 0.235 0.043 0.07 0.086 ...
$ Al : int 1420 7190 1970 6360 630 2060 1200 1510 3380 1320 ...
$ Al_AA : num 35.5 1000 98.5 322 15.5 115 23.6 40.9 342 59.6 ...
$ As : num 0.743 0.973 1.1 1.24 0.533 1.54 0.836 0.657 1.75 1.04 ...
$ Au : num 1.87 0.186 0.156 0.376 0.025 0.86 0.025 0.054 0.087 0.394 ...
$ B : num 2.51 3.45 1.62 1.59 4.33 1.93 2.51 4.46 5.08 2.1 ...
$ Ba : num 74 65.2 121 63.5 36 111 109 24.5 42.2 51.4 ...
$ Ba_AA : num 25.6 16.6 42.6 19.9 9.33 32.5 42.4 5.84 15.6 18.7 ...
$ Be : num 0.02 0.08 0.04 0.07 0.01 0.07 0.01 0.05 0.06 0.01 ...
$ Bi : num 0.108 0.084 0.137 0.135 0.076 0.176 0.145 0.075 0.259 0.112 ...
$ Br : num 1 1 1 1 1 1 1 6.8 1 1 ...
$ C : num 39.9 47.5 44.2 19.4 45.8 47.8 45.7 47.3 29.5 46.8 ...
$ Ca : int 3900 1900 3240 2470 3500 3340 3010 3090 1760 2810 ...
$ Ca_AA : int 2200 928 1910 820 1920 1790 1850 1710 830 1690 ...
$ Cd : num 0.298 0.39 0.295 0.222 0.214 0.327 0.294 0.18 0.295 0.284 ...
$ Cd_AA : num 0.23 0.32 0.22 0.17 0.19 0.2 0.29 0.12 0.22 0.21 ...
$ Cl : num 82.9 88.2 33.6 49.9 72.1 ...
$ Co : num 1.28 3.37 0.98 3.91 0.43 4.61 0.75 0.55 1.68 1.12 ...
$ Co_AA : num 0.25 1.07 0.25 0.56 0.06 0.66 0.1 0.06 0.51 0.26 ...
$ Cond : num 140 100 123 106 108 ...
$ Cr : num 3.04 2.02 1.33 17 0.79 3.78 2.01 1.63 10.9 1.71 ...
$ Cr_AA : num 0.07 0.08 0.04 0.45 0.01 0.08 0.13 0.03 0.36 0.04 ...
$ Cu : num 10.9 12.3 5.59 29.8 6.23 47.3 8.66 5.55 10 9.25 ...
$ Cu_AA : num 0.19 0.36 0.08 1.69 0.05 0.98 0.17 0.01 0.43 0.17 ...
$ F : num 49.3 52.2 44.8 47.1 50.6 ...
$ Fe : int 2050 3170 1100 6180 790 3370 1150 1800 4820 970 ...
$ Fe_AA : num 11.2 62.8 5 42.5 3.1 16.6 4.2 6.8 141 4.2 ...
$ H : num 5.5 6.8 6.3 3 6.1 5.8 6.5 6.4 4.4 6.5 ...
$ Hg : num 0.155 0.263 0.168 0.175 0.197 0.239 0.233 0.217 0.238 0.229 ...
$ K : int 1100 900 1000 900 700 1200 1000 600 800 1000 ...
$ K_AA : int 781 651 666 445 611 808 781 455 398 747 ...
$ La : num 2.3 6.4 1.7 5.3 1.2 7 1.5 2.9 6.3 1.2 ...
$ LOI : num 82.2 94.7 95.4 52.7 95.3 91.3 92 92.6 64.1 94.3 ...
$ Mg : int 820 670 790 1180 1770 800 660 1750 820 570 ...
$ Mg_AA : num 474 457 586 186 1440 510 413 1390 300 381 ...
$ Mn : num 202 22.8 70.3 118 24.4 86.1 1210 16.7 39.2 115 ...
$ Mn_AA : num 107 8.85 39.2 37.8 10.4 35.4 561 7 9.83 66.5 ...
$ Mo : num 0.662 0.286 0.166 0.28 0.248 0.473 0.185 0.372 0.277 0.15 ...
$ N : num 1.2 1.5 1.5 0.7 1.5 1.3 1.7 1.5 0.7 1 ...
$ Na : int 40 120 30 150 410 60 10 320 110 50 ...
$ Na_AA : num 17.5 105 32.3 31.1 366 41.5 10.9 280 61 43.5 ...
$ Ni : num 9.41 14.8 5.05 59.5 1.98 78 5.7 2.19 11.7 13.2 ...
$ Ni_AA : num 0.74 1.3 0.42 5.89 0.08 3.97 0.43 0.025 2.29 1.28 ...
$ NO3 : num 3.48 3.42 0.5 3.98 0.5 5.88 0.5 0.5 0.5 0.5 ...
$ P : int 743 1030 922 717 795 942 1120 790 779 745 ...
$ P_AA : num 125 39.9 124 65.5 149 152 219 90.3 52.5 148 ...
$ Pb : num 15.9 13.9 19 16.3 14.3 21.7 15.2 11.6 284 14.1 ...
$ Pb_AA : num 3.8 3 5.1 4.3 3.2 4.1 3.1 3 83 3.2 ...
$ Pd : num 0.63 1.27 0.13 5.9 0.05 10.4 0.19 0.21 0.05 1.14 ...
$ pH : num 3.9 4.1 3.8 4 4.1 3.7 4 4.2 4 3.6 ...
$ PO4 : num 363.7 34.3 382.8 191.7 362.2 ...
$ Pt : num 1.27 1.66 0.15 1.1 0.15 4.53 0.15 0.15 0.48 0.15 ...
$ Rb : num 8.14 2.82 4.45 8.13 2.67 5.23 4.94 2.33 4.07 5.35 ...
$ S : int 1300 1950 1750 965 1860 1410 1880 2210 1260 1250 ...
$ S_AA : num 107 120 108 77.4 78.8 108 146 74.2 81.1 110 ...
$ Sb : num 0.12 0.161 0.25 0.017 0.169 0.217 0.189 0.126 0.809 0.202 ...
$ Sc : num 0.6 1.2 0.4 1.4 0.2 0.7 0.4 0.6 1.1 0.3 ...
$ Se : num 0.4 0.81 0.4 0.4 0.4 0.4 0.4 1.46 0.4 0.4 ...
$ Si : int 630 640 580 690 440 530 650 490 630 560 ...
$ Si_AA : int 7 10 5 16 3 6 9 5 6 4 ...
$ SO4 : num 142 144 131 118 101 ...
$ Sr : num 22.2 34.4 43.4 29.2 46.4 67.9 20.7 59.1 28.8 23.2 ...
$ Sr_AA : num 11.8 16.5 24.3 12.3 23.9 34.9 11.9 31.7 17 13.1 ...
$ Th : num 0.413 0.281 0.246 0.816 0.25 0.432 0.371 0.535 1.13 0.109 ...
$ Ti_AA : num 0.32 0.24 0.1 1.14 0.025 0.18 0.12 0.14 0.7 0.06 ...
$ Tl : num 0.081 0.068 0.077 0.099 0.06 0.084 0.088 0.042 0.084 0.097 ...
$ U : num 0.24 0.12 0.042 0.163 0.127 0.112 0.051 0.265 0.221 0.031 ...
$ V : num 6.79 3.89 2.86 16.1 1.63 7.4 3.55 2.57 13.9 2.76 ...
$ V_AA : num 0.1 0.13 0.09 0.2 0.04 0.17 0.07 0.08 0.41 0.08 ...
$ Y : num 0.8 2.4 0.5 1.9 0.8 1.6 0.5 1.8 1.7 0.4 ...
$ Zn : num 59.1 18.1 67.6 43.3 41.4 46 103 21.5 23.2 38.5 ...
$ Zn_AA : num 22.4 7.23 30.9 17.1 16.1 16 45.4 8.07 13 15.1 ...
StatDA documentation built on March 13, 2020, 2:42 a.m.
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Description Usage Format Author(s) Source References Examples
Description
The Kola Data were collected in the Kola Project (1993-1998, Geological Surveys of Finland (GTK) and Norway (NGU) and Central Kola Expedition (CKE), Russia). More than 600 samples in five different layers were analysed, this dataset contains the O-horizon.
Usage
1 |
Format
A data frame with 617 observations on the following 85 variables.
IDa numeric vector
XCOOa numeric vector
YCOOa numeric vector
ELEVa numeric vector
COUNa factor with levels
FINNORRUSX.ASPa factor with levels
-9999EFLATNNENWNWSSESWWAoMEANa numeric vector
HUMNOa numeric vector
HUMTHIa numeric vector
GROUNDVEGa factor with levels
BLUEBERRYCARLIN_HEATHEREMPETRUMGRASSLICHENMOSSSHRUBSWHITE_LICHENTREELAYa factor with levels
BIPIBIPISPRBIRCHBIRCHdenseBISPRBISPRPIMIXPIBIPIBISPRPINEPISPRPISPRBISHRUBSSPARCEBISPARCEPISPRBISPRBIPISPRPISPRPIBISPRUCEWILLOWVEG_ZONEa factor with levels
BOREAL_FORESTDWARF_SHRUB_TUNDRAFOREST_TUNDRASHRUB_TUNDRATUNDRALITOa numeric vector
Aga numeric vector
Ala numeric vector
Al_AAa numeric vector
Asa numeric vector
Aua numeric vector
Ba numeric vector
Baa numeric vector
Ba_AAa numeric vector
Bea numeric vector
Bia numeric vector
Bra numeric vector
Ca numeric vector
Caa numeric vector
Ca_AAa numeric vector
Cda numeric vector
Cd_AAa numeric vector
Cla numeric vector
Coa numeric vector
Co_AAa numeric vector
Conda numeric vector
Cra numeric vector
Cr_AAa numeric vector
Cua numeric vector
Cu_AAa numeric vector
Fa numeric vector
Fea numeric vector
Fe_AAa numeric vector
Ha numeric vector
Hga numeric vector
Ka numeric vector
K_AAa numeric vector
Laa numeric vector
LOIa numeric vector
Mga numeric vector
Mg_AAa numeric vector
Mna numeric vector
Mn_AAa numeric vector
Moa numeric vector
Na numeric vector
Naa numeric vector
Na_AAa numeric vector
Nia numeric vector
Ni_AAa numeric vector
NO3a numeric vector
Pa numeric vector
P_AAa numeric vector
Pba numeric vector
Pb_AAa numeric vector
Pda numeric vector
pHa numeric vector
PO4a numeric vector
Pta numeric vector
Rba numeric vector
Sa numeric vector
S_AAa numeric vector
Sba numeric vector
Sca numeric vector
Sea numeric vector
Sia numeric vector
Si_AAa numeric vector
SO4a numeric vector
Sra numeric vector
Sr_AAa numeric vector
Tha numeric vector
Ti_AAa numeric vector
Tla numeric vector
Ua numeric vector
Va numeric vector
V_AAa numeric vector
Ya numeric vector
Zna numeric vector
Zn_AAa numeric vector
Author(s)
Peter Filzmoser <P.Filzmoser@tuwien.ac.at> http://cstat.tuwien.ac.at/filz/
Source
Kola Project (1993-1998)
References
Reimann C, ?yr?s M, Chekushin V, Bogatyrev I, Boyd R, Caritat P de, Dutter R, Finne TE, Halleraker JH, J?ger ?, Kashulina G, Lehto O, Niskavaara H, Pavlov V, R?is?nen ML, Strand T, Volden T. Environmental Geochemical Atlas of the Central Barents Region. NGU-GTK-CKE Special Publication, Geological Survey of Norway, Trondheim, Norway, 1998.
Examples
1 2 |
Example output
Loading required package: geoR
--------------------------------------------------------------
Analysis of Geostatistical Data
For an Introduction to geoR go to http://www.leg.ufpr.br/geoR
geoR version 1.7-5.2.1 (built on 2016-05-02) is now loaded
--------------------------------------------------------------
Loading required package: sgeostat
Warning messages:
1: no DISPLAY variable so Tk is not available
2: In rgl.init(initValue, onlyNULL) : RGL: unable to open X11 display
3: 'rgl_init' failed, running with rgl.useNULL = TRUE
4: .onUnload failed in unloadNamespace() for 'rgl', details:
call: fun(...)
error: object 'rgl_quit' not found
'data.frame': 617 obs. of 85 variables:
$ ID : int 1 2 3 4 5 6 7 8 9 10 ...
$ XCOO : int 547960 770025 498651 795152 437050 752106 531687 537800 752013 688999 ...
$ YCOO : int 7690000 7680000 7670000 7570000 7860000 7630000 7630000 7880000 7690000 7610000 ...
$ ELEV : int 135 140 255 240 80 140 195 40 120 90 ...
$ COUN : Factor w/ 3 levels "FIN","NOR","RUS": 1 3 1 3 2 3 1 2 3 3 ...
$ X.ASP : Factor w/ 11 levels "-9999","E","FLAT",..: 6 10 4 5 4 2 2 2 3 3 ...
$ AoMEAN : num 2.4 6 3.1 1 15 3 0.5 8 2 3 ...
$ HUMNO : int 5 5 5 NA 5 6 9 5 6 7 ...
$ HUMTHI : num 3 6 3.4 NA 3 2 0.6 3 2 2 ...
$ GROUNDVEG: Factor w/ 9 levels "","BLUEBERRY",..: 4 8 2 9 8 8 8 8 9 8 ...
$ TREELAY : Factor w/ 22 levels "","BIPI","BIPISPR",..: 9 4 4 9 4 2 9 11 1 10 ...
$ VEG_ZONE : Factor w/ 6 levels "","BOREAL_FOREST",..: 2 4 4 2 4 2 2 6 6 1 ...
$ LITO : int 20 4 31 NA 10 20 31 10 4 1 ...
$ Ag : num 0.124 0.13 0.124 0.309 0.04 0.421 0.235 0.043 0.07 0.086 ...
$ Al : int 1420 7190 1970 6360 630 2060 1200 1510 3380 1320 ...
$ Al_AA : num 35.5 1000 98.5 322 15.5 115 23.6 40.9 342 59.6 ...
$ As : num 0.743 0.973 1.1 1.24 0.533 1.54 0.836 0.657 1.75 1.04 ...
$ Au : num 1.87 0.186 0.156 0.376 0.025 0.86 0.025 0.054 0.087 0.394 ...
$ B : num 2.51 3.45 1.62 1.59 4.33 1.93 2.51 4.46 5.08 2.1 ...
$ Ba : num 74 65.2 121 63.5 36 111 109 24.5 42.2 51.4 ...
$ Ba_AA : num 25.6 16.6 42.6 19.9 9.33 32.5 42.4 5.84 15.6 18.7 ...
$ Be : num 0.02 0.08 0.04 0.07 0.01 0.07 0.01 0.05 0.06 0.01 ...
$ Bi : num 0.108 0.084 0.137 0.135 0.076 0.176 0.145 0.075 0.259 0.112 ...
$ Br : num 1 1 1 1 1 1 1 6.8 1 1 ...
$ C : num 39.9 47.5 44.2 19.4 45.8 47.8 45.7 47.3 29.5 46.8 ...
$ Ca : int 3900 1900 3240 2470 3500 3340 3010 3090 1760 2810 ...
$ Ca_AA : int 2200 928 1910 820 1920 1790 1850 1710 830 1690 ...
$ Cd : num 0.298 0.39 0.295 0.222 0.214 0.327 0.294 0.18 0.295 0.284 ...
$ Cd_AA : num 0.23 0.32 0.22 0.17 0.19 0.2 0.29 0.12 0.22 0.21 ...
$ Cl : num 82.9 88.2 33.6 49.9 72.1 ...
$ Co : num 1.28 3.37 0.98 3.91 0.43 4.61 0.75 0.55 1.68 1.12 ...
$ Co_AA : num 0.25 1.07 0.25 0.56 0.06 0.66 0.1 0.06 0.51 0.26 ...
$ Cond : num 140 100 123 106 108 ...
$ Cr : num 3.04 2.02 1.33 17 0.79 3.78 2.01 1.63 10.9 1.71 ...
$ Cr_AA : num 0.07 0.08 0.04 0.45 0.01 0.08 0.13 0.03 0.36 0.04 ...
$ Cu : num 10.9 12.3 5.59 29.8 6.23 47.3 8.66 5.55 10 9.25 ...
$ Cu_AA : num 0.19 0.36 0.08 1.69 0.05 0.98 0.17 0.01 0.43 0.17 ...
$ F : num 49.3 52.2 44.8 47.1 50.6 ...
$ Fe : int 2050 3170 1100 6180 790 3370 1150 1800 4820 970 ...
$ Fe_AA : num 11.2 62.8 5 42.5 3.1 16.6 4.2 6.8 141 4.2 ...
$ H : num 5.5 6.8 6.3 3 6.1 5.8 6.5 6.4 4.4 6.5 ...
$ Hg : num 0.155 0.263 0.168 0.175 0.197 0.239 0.233 0.217 0.238 0.229 ...
$ K : int 1100 900 1000 900 700 1200 1000 600 800 1000 ...
$ K_AA : int 781 651 666 445 611 808 781 455 398 747 ...
$ La : num 2.3 6.4 1.7 5.3 1.2 7 1.5 2.9 6.3 1.2 ...
$ LOI : num 82.2 94.7 95.4 52.7 95.3 91.3 92 92.6 64.1 94.3 ...
$ Mg : int 820 670 790 1180 1770 800 660 1750 820 570 ...
$ Mg_AA : num 474 457 586 186 1440 510 413 1390 300 381 ...
$ Mn : num 202 22.8 70.3 118 24.4 86.1 1210 16.7 39.2 115 ...
$ Mn_AA : num 107 8.85 39.2 37.8 10.4 35.4 561 7 9.83 66.5 ...
$ Mo : num 0.662 0.286 0.166 0.28 0.248 0.473 0.185 0.372 0.277 0.15 ...
$ N : num 1.2 1.5 1.5 0.7 1.5 1.3 1.7 1.5 0.7 1 ...
$ Na : int 40 120 30 150 410 60 10 320 110 50 ...
$ Na_AA : num 17.5 105 32.3 31.1 366 41.5 10.9 280 61 43.5 ...
$ Ni : num 9.41 14.8 5.05 59.5 1.98 78 5.7 2.19 11.7 13.2 ...
$ Ni_AA : num 0.74 1.3 0.42 5.89 0.08 3.97 0.43 0.025 2.29 1.28 ...
$ NO3 : num 3.48 3.42 0.5 3.98 0.5 5.88 0.5 0.5 0.5 0.5 ...
$ P : int 743 1030 922 717 795 942 1120 790 779 745 ...
$ P_AA : num 125 39.9 124 65.5 149 152 219 90.3 52.5 148 ...
$ Pb : num 15.9 13.9 19 16.3 14.3 21.7 15.2 11.6 284 14.1 ...
$ Pb_AA : num 3.8 3 5.1 4.3 3.2 4.1 3.1 3 83 3.2 ...
$ Pd : num 0.63 1.27 0.13 5.9 0.05 10.4 0.19 0.21 0.05 1.14 ...
$ pH : num 3.9 4.1 3.8 4 4.1 3.7 4 4.2 4 3.6 ...
$ PO4 : num 363.7 34.3 382.8 191.7 362.2 ...
$ Pt : num 1.27 1.66 0.15 1.1 0.15 4.53 0.15 0.15 0.48 0.15 ...
$ Rb : num 8.14 2.82 4.45 8.13 2.67 5.23 4.94 2.33 4.07 5.35 ...
$ S : int 1300 1950 1750 965 1860 1410 1880 2210 1260 1250 ...
$ S_AA : num 107 120 108 77.4 78.8 108 146 74.2 81.1 110 ...
$ Sb : num 0.12 0.161 0.25 0.017 0.169 0.217 0.189 0.126 0.809 0.202 ...
$ Sc : num 0.6 1.2 0.4 1.4 0.2 0.7 0.4 0.6 1.1 0.3 ...
$ Se : num 0.4 0.81 0.4 0.4 0.4 0.4 0.4 1.46 0.4 0.4 ...
$ Si : int 630 640 580 690 440 530 650 490 630 560 ...
$ Si_AA : int 7 10 5 16 3 6 9 5 6 4 ...
$ SO4 : num 142 144 131 118 101 ...
$ Sr : num 22.2 34.4 43.4 29.2 46.4 67.9 20.7 59.1 28.8 23.2 ...
$ Sr_AA : num 11.8 16.5 24.3 12.3 23.9 34.9 11.9 31.7 17 13.1 ...
$ Th : num 0.413 0.281 0.246 0.816 0.25 0.432 0.371 0.535 1.13 0.109 ...
$ Ti_AA : num 0.32 0.24 0.1 1.14 0.025 0.18 0.12 0.14 0.7 0.06 ...
$ Tl : num 0.081 0.068 0.077 0.099 0.06 0.084 0.088 0.042 0.084 0.097 ...
$ U : num 0.24 0.12 0.042 0.163 0.127 0.112 0.051 0.265 0.221 0.031 ...
$ V : num 6.79 3.89 2.86 16.1 1.63 7.4 3.55 2.57 13.9 2.76 ...
$ V_AA : num 0.1 0.13 0.09 0.2 0.04 0.17 0.07 0.08 0.41 0.08 ...
$ Y : num 0.8 2.4 0.5 1.9 0.8 1.6 0.5 1.8 1.7 0.4 ...
$ Zn : num 59.1 18.1 67.6 43.3 41.4 46 103 21.5 23.2 38.5 ...
$ Zn_AA : num 22.4 7.23 30.9 17.1 16.1 16 45.4 8.07 13 15.1 ...
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