data_list | R Documentation |
data_list
class objectdata_list()
constructs a data list object which inherits from classes
data_list
and list
. This object is the primary way in which features to
be used along the metasnf
clustering pipeline are stored. The data list is
fundamentally a 2-level nested list object where each inner list contains a
data frame and associated metadata for that data frame. The metadata
includes the name of the data frame, the 'domain' of that data frame (the
broader source of information that the input data frame is capturing,
determined by user's domain knowledge), and the type of feature stored in
the data frame (continuous, discrete, ordinal, categorical, or mixed).
data_list(..., uid)
... |
Any number of lists formatted as (df, "df_name", "df_domain", "df_type") and/or any number of lists of lists formatted as (df, "df_name", "df_domain", "df_type"). |
uid |
(character) the name of the uid column currently used data. data frame. |
heart_rate_df <- data.frame(
patient_id = c("1", "2", "3"),
var1 = c(0.04, 0.1, 0.3),
var2 = c(30, 2, 0.3)
)
personality_test_df <- data.frame(
patient_id = c("1", "2", "3"),
var3 = c(900, 1990, 373),
var4 = c(509, 2209, 83)
)
survey_response_df <- data.frame(
patient_id = c("1", "2", "3"),
var5 = c(1, 3, 3),
var6 = c(2, 3, 3)
)
city_df <- data.frame(
patient_id = c("1", "2", "3"),
var7 = c("toronto", "montreal", "vancouver")
)
# Explicitly (Name each nested list element):
dl <- data_list(
list(
data = heart_rate_df,
name = "heart_rate",
domain = "clinical",
type = "continuous"
),
list(
data = personality_test_df,
name = "personality_test",
domain = "surveys",
type = "continuous"
),
list(
data = survey_response_df,
name = "survey_response",
domain = "surveys",
type = "ordinal"
),
list(
data = city_df,
name = "city",
domain = "location",
type = "categorical"
),
uid = "patient_id"
)
# Compact loading
dl <- data_list(
list(heart_rate_df, "heart_rate", "clinical", "continuous"),
list(personality_test_df, "personality_test", "surveys", "continuous"),
list(survey_response_df, "survey_response", "surveys", "ordinal"),
list(city_df, "city", "location", "categorical"),
uid = "patient_id"
)
# Printing data list summaries
summary(dl)
# Alternative loading: providing a single list of lists
list_of_lists <- list(
list(heart_rate_df, "data1", "domain1", "continuous"),
list(personality_test_df, "data2", "domain2", "continuous")
)
dl <- data_list(
list_of_lists,
uid = "patient_id"
)
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