$.chMDB {TKCat} | R Documentation |
An MDB (Modeled DataBase) based on files: fileMDB
Description
An MDB (Modeled DataBase) based on files: fileMDB
Rename tables of a fileMDB object
Usage
## S3 method for class 'chMDB'
x$i
fileMDB(
dataFiles,
dbInfo,
dataModel,
readParameters = DEFAULT_READ_PARAMS,
collectionMembers = NULL,
check = TRUE,
n_max = 10,
verbose = FALSE
)
## S3 replacement method for class 'fileMDB'
names(x) <- value
## S3 method for class 'fileMDB'
rename(.data, ...)
## S3 method for class 'fileMDB'
x[i]
## S3 method for class 'fileMDB'
x[[i]]
## S3 method for class 'fileMDB'
x$i
Arguments
x |
a fileMDB object |
i |
the index or the name of the tables to take |
dataFiles |
a named vector of path to data files with
|
dbInfo |
a list with DB information: "name" (only mandatory field), "title", "description", "url", "version", "maintainer". |
dataModel |
a ReDaMoR::RelDataModel object |
readParameters |
a list of parameters for reading the data file.
(e.g. |
collectionMembers |
the members of collections as provided to the collection_members<- function (default: NULL ==> no member). |
check |
logical: if TRUE (default) the data are confronted to the data model |
n_max |
maximum number of records to read
for checks purpose (default: 10). See also |
verbose |
if TRUE display the data confrontation report (default: FALSE) |
value |
new table names |
.data |
a fileMDB object |
... |
Use new_name = old_name to rename selected tables |
Value
A fileMDB object
See Also
MDB methods: db_info, data_model, data_tables, collection_members, count_records, dims, filter_with_tables, as_fileMDB
Additional general documentation is related to MDB.
Examples
hpof <- read_fileMDB(
path=system.file("examples/HPO-subset", package="ReDaMoR"),
dataModel=system.file("examples/HPO-model.json", package="ReDaMoR"),
dbInfo=list(
"name"="HPO",
"title"="Data extracted from the HPO database",
"description"=paste(
"This is a very small subset of the HPO!",
"Visit the reference URL for more information"
),
"url"="http://human-phenotype-ontology.github.io/"
)
)
count_records(hpof)
## The following commands take time on fileMDB object
## Not run:
select(hpof, HPO_hp:HPO_diseases)
toTake <- "HPO_altId"
select(hpof, all_of(toTake))
hpoSlice <- slice(hpof, HPO_diseases=1:10)
count_records(hpoSlice)
if("stringr" %in% installed.packages()[,"Package"]){
epilHP <- filter(
hpof,
HPO_diseases=stringr::str_detect(
label, stringr::regex("epilepsy", ignore_case=TRUE)
)
)
count_records(epilHP)
label <- "Rolandic epilepsy"
cn <- sym("label")
reHP <- filter(
hpof,
HPO_diseases=!!cn==!!label
)
}
## End(Not run)