ccTable-class | R Documentation |
ccRecord data are re-arranged into tables where the columns stands for data fields (e.g. heart rate, blood pressure) and the rows stands for each data record within a unique cadence. See ccTable_create_cctable. ccTable is the data processing platform. It stores both original data and processed data alongside with the process details. It also contains various commonly used data filters.
record
ccRecord.
conf
the YAML style configuration.
torigin
the original data table.
tclean
the data table after cleaning processes.
dfilter
list contains data filtering information.
dquality
list contains data quality.
summary
list
base_cadence
the base cadence is specified in hours
apply_filters(warnings = TRUE)
Apply all filters specified in the configuration to update the clean table (tclean)
create_table(freq)
Create a table contains the selected items in the conf with a given frequency (in hour)
export_csv(file = NULL)
Export the cleaned table to a CSV file.
filter_categories()
Check individual entries if they are the in the categories specified in conf.
filter_missingness(recount = FALSE)
filter out the where missingness is too low.
filter_nodata()
Exclude episodes when no data is presented in certain fields
imputation()
Filling missing data to a time series data by performing a given imputation method on a selected window period nearby the missing data.
reload_conf(conf)
reload yaml configuration.
rec <- ccRecord() cctable <- create_cctable(rec, freq=1) cctable <- cctable$clean() #table <- cctable$tclean
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.