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 C-horizon.
data(chorizon)A data frame with 606 observations on the following 110 variables.
IDa numeric vector
XCOOa numeric vector
YCOOa numeric vector
Aga numeric vector
Ag_INAAa numeric vector
Ala numeric vector
Al2O3a numeric vector
Asa numeric vector
As_INAAa numeric vector
Au_INAAa numeric vector
Ba numeric vector
Baa numeric vector
Ba_INAAa numeric vector
Bea numeric vector
Bia numeric vector
Br_ICa numeric vector
Br_INAAa numeric vector
Caa numeric vector
Ca_INAAa numeric vector
CaOa numeric vector
Cda numeric vector
Ce_INAAa numeric vector
Cl_ICa numeric vector
Coa numeric vector
Co_INAAa numeric vector
ECa numeric vector
Cra numeric vector
Cr_INAAa numeric vector
Cs_INAAa numeric vector
Cua numeric vector
Eu_INAAa numeric vector
F_ICa numeric vector
Fea numeric vector
Fe_INAAa numeric vector
Fe2O3a numeric vector
Hf_INAAa numeric vector
Hga numeric vector
Hg_INAAa numeric vector
Ir_INAAa numeric vector
Ka numeric vector
K2Oa numeric vector
Laa numeric vector
La_INAAa numeric vector
Lia numeric vector
LOIa numeric vector
Lu_INAAa numeric vector
wt_INAAa numeric vector
Mga numeric vector
MgOa numeric vector
Mna numeric vector
MnOa numeric vector
Moa numeric vector
Mo_INAAa numeric vector
Naa numeric vector
Na_INAAa numeric vector
Na2Oa numeric vector
Nd_INAAa numeric vector
Nia numeric vector
Ni_INAAa numeric vector
NO3_ICa numeric vector
Pa numeric vector
P2O5a numeric vector
Pba numeric vector
pHa numeric vector
PO4_ICa numeric vector
Rba numeric vector
Sa numeric vector
Sba numeric vector
Sb_INAAa numeric vector
Sca numeric vector
Sc_INAAa numeric vector
Sea numeric vector
Se_INAAa numeric vector
Sia numeric vector
SiO2a numeric vector
Sm_INAAa numeric vector
Sn_INAAa numeric vector
SO4_ICa numeric vector
Sra numeric vector
Sr_INAAa numeric vector
SUM_XRFa numeric vector
Ta_INAAa numeric vector
Tb_INAAa numeric vector
Tea numeric vector
Tha numeric vector
Th_INAAa numeric vector
Tia numeric vector
TiO2a numeric vector
U_INAAa numeric vector
Va numeric vector
W_INAAa numeric vector
Ya numeric vector
Yb_INAAa numeric vector
Zna numeric vector
Zn_INAAa numeric vector
ELEVa numeric vector
COUNa numeric vector
ASPa numeric vector
TOPCa numeric vector
LITOa numeric vector
Al_XRFa numeric vector
Ca_XRFa numeric vector
Fe_XRFa numeric vector
K_XRFa numeric vector
Mg_XRFa numeric vector
Mn_XRFa numeric vector
Na_XRFa numeric vector
P_XRFa numeric vector
Si_XRFa numeric vector
Ti_XRFa numeric vector
Reimann C, <c4>yr<e4>s M, Chekushin V, Bogatyrev I, Boyd R, Caritat P de, Dutter R, Finne TE, Halleraker JH, J<e6>ger <d8>, Kashulina G, Lehto O, Niskavaara H, Pavlov V, R<e4>is<e4>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.
# NOT RUN {
data(chorizon)
# classical versus robust correlation
corr.plot(log(chorizon[,"Al"]), log(chorizon[,"Na"]))
# }
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