View source: R/transpose_microbioevents.R
transpose_microbioevents | R Documentation |
This function helps to transpose (rows to columns) microbiology events.
transpose_microbioevents(raw_df,
key_columns,
required_columns,
transpose_key_column,
transpose_value_column,
fill="NA",
non_empty_filter_column,
remove_duplicates=TRUE)
key_columns |
(Optional) Primary Key/ Key columns for duplicate check : Default Value = c('subject_id','micro_specimen_id','isolate_num', 'org_name','ab_itemid') |
raw_df |
A data frame containing microbiology events |
required_columns |
(Optional) columns should contain in final dataset : Default Value c('subject_id','hadm_id','micro_specimen_id', 'order_provider_id', 'chartdate','charttime', 'spec_itemid','spec_type_desc','storedate', 'storetime','test_itemid','test_name', 'org_itemid','isolate_num','org_name') |
transpose_key_column |
(Optional) The column that should be transposed ( - distinct values of that column will become separate columns) :Default 'ab_name' |
transpose_value_column |
(optional) Values of 'transpose_key_column' column :Default 'interpretation' |
fill |
(optional) Fill character for empty columns- Default : "NA" |
non_empty_filter_column |
(optional) Filter input dataframe where 'non_empty_filter_column' is not empty or na. Default :'ab_itemid' |
remove_duplicates |
(optional) Default :TRUE |
Data Frame
test_data <- data.frame(subject_id=c('10016742','10016742','10016742',
'10016742','10016742','10038332',
'10038332','10038332','10038332',
'10038332','10038332'),
chartdate= c('2178-07-03','2178-08-01','2178-08-01',
'2178-08-01','2178-09-25','2164-07-31',
'2164-12-22','2164-12-22','2165-01-07',
'2165-04-17','2165-05-05'),
ab_name=c('CEFEPIME','CEFTAZIDIME','CEFEPIME',
'CEFEPIME','CEFTAZIDIME','CEFTAZIDIME',
'CEFEPIME','CEFEPIME','CEFTAZIDIME',
'CEFTAZIDIME','CEFEPIME'),
interpretation=c('S','R','S','R','R','S','S','S','R','R','S'))
transpose_microbioevents(test_data,
key_columns = c('subject_id','chartdate','ab_name'),
required_columns = c('subject_id','chartdate'),
transpose_key_column = 'ab_name',
transpose_value_column = 'interpretation',
fill = "N/A",
non_empty_filter_column = 'subject_id')
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