Converts several data frames of metabolomic data to an
object of the class 'metabData'. Objects of the class 'metabData' are lists
with two obligatory components, e_data and f_data. An optional
list component, e_meta, is used if analysis or visualization at other
levels (e.g. metabolite identification) is also desired.
as.metabData(
e_data,
f_data,
e_meta = NULL,
edata_cname,
fdata_cname,
emeta_cname = NULL,
techrep_cname = NULL,
...
)a \(p \times n + 1\) data frame of expression data, where \(p\) is the number of metabolites observed and \(n\) is the number of samples. Each row corresponds to data for one metabolite. One column specifying a unique identifier for each metabolite (row) must be present.
a data frame with \(n\) rows. Each row corresponds to a sample with one column giving the unique sample identifiers found in e_data column names and other columns providing qualitative and/or quantitative traits of each sample.
an optional data frame with \(p\) rows. Each row corresponds
to a metabolite with one column giving metabolite names (must be named the
same as the column in e_data) and other columns giving meta
information.
character string specifying the name of the column
containing the metabolite identifiers in e_data and e_meta
(if applicable).
character string specifying the name of the column
containing the sample identifiers in f_data.
character string specifying the name of the column
containing the mapped identifiers in e_meta (if applicable).
Defaults to NULL. Can be the same as edata_cname, if desired. If e_meta is NULL, then either do not specify
emeta_cname or specify it as NULL.
character string specifying the name of the column in
f_data that specifies which samples are technical replicates. This column is used to
collapse the data when combine_techreps is called on this object.
Defaults to NULL (no technical replicates).
further arguments
Object of class metabData
Objects of class 'metabData' contain some attributes that are referenced by downstream functions. These attributes can be changed from their default value by manual specification. A list of these attributes as well as their default values are as follows:
| data_scale | Scale of the data provided in e_data. Acceptable values are 'log2',
'log10', 'log', and 'abundance', which indicate data is log base 2, base
10, natural log, or raw abundance, respectively. Default is
'abundance'. |
| is_normalized | A logical argument, specifying whether the data has been normalized or not. Default value is FALSE. |
| norm_info | Default value is an empty list, which will be
populated with a single named element is_normalized = is_normalized.
When a normalization is applied to the data, this becomes populated with a
list containing the normalization function, normalization subset and subset
parameters, the location and scale parameters used to normalize the data,
and the location and scale parameters used to backtransform the data (if
applicable). |
| data_types | Character string describing the type of data, most commonly used for lipidomic data (lipidData objects) or NMR data (nmrData objects) but available for other data classes as well. Default value is NULL. |
Computed
values included in the data_info attribute are as follows:
| num_edata | The number of unique edata_cname
entries. |
| num_miss_obs | The number of missing observations. |
| num_emeta | The number of unique
emeta_cname entries. |
| prop_missing | The proportion
of e_data values that are NA. |
| num_samps | The number
of samples that make up the columns of e_data. |
| meta_info | A logical argument, specifying where the e_meta is provided. |
library(pmartRdata)
mymetabData <- as.metabData(
e_data = metab_edata,
f_data = metab_fdata,
edata_cname = "Metabolite",
fdata_cname = "SampleID"
)