Description Usage Arguments Details Value Note See Also Examples
Given three data.frames
that defines the exposome (measures
of exposome, exposome description and individuals phentype) it loads
them and creates an object of type ExposomeSet.
1 2 3 4 5 6 7 8 | loadExposome(
exposures,
description,
phenotype,
description.famCol = "family",
exposures.asFactor = 5,
warnings = TRUE
)
|
exposures |
|
description |
|
phenotype |
|
description.famCol |
(default |
exposures.asFactor |
(default |
warnings |
(default |
The rows of the exposure's data.frames
, that corresponds to samples'
names, must be the same than the phenotype's data.frames
. In the
same way, the columns in exposure's data.frames
must be the same
in description data.frame
.
An object of class ExposomeSet.
ExposomeSet's fData
will contain some inner columns
called .std
, .trn
, .fct
and .type
in order to
trace the transformations an exposure suffers and to know, at eny moment, if
an exposure is categorical or continuous. The "description" file can
contains a column called type
with values "factor"
and
"numeric"
to speficy how an exposure needs to be understood. If
given, this column will be renamed to .type
. If not given, it will
be created using exposures.asFactor
value.
ExposomeSet for class description, readExposome for constructor from txt/csv files.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | path <- file.path(path.package("rexposome"), "extdata")
description <- file.path(path, "description.csv")
phenotype <- file.path(path, "phenotypes.csv")
exposures <- file.path(path, "exposures.csv")
dd <- read.csv(description, header=TRUE)
ee <- read.csv(exposures, header=TRUE)
pp <- read.csv(phenotype, header=TRUE)
rownames(dd) <- dd[, 2]
dd <- dd[ , -2]
rownames(ee) <- ee[ , 1]
ee <- ee[ , -1]
rownames(pp) <- pp[ , 1]
pp <- pp[ , -1]
exp <- loadExposome(
exposures = ee,
description = dd,
phenotype = pp,
description.famCol = "Family"
)
|
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