date_to_sample_order {proBatch} | R Documentation |
Converts date/time columns fo sample_annotation to POSIXct format and calculates sample run rank in order column
date_to_sample_order( sample_annotation, time_column = c("RunDate", "RunTime"), new_time_column = "DateTime", dateTimeFormat = c("%b_%d", "%H:%M:%S"), new_order_col = "order", instrument_col = "instrument" )
sample_annotation |
data frame with:
.
See |
time_column |
name of the column(s) where run date & time are specified. These will be used to determine the run order |
new_time_column |
name of the new column to which date&time will be converted to |
dateTimeFormat |
POSIX format of the date and time.
See |
new_order_col |
name of column with generated the order of sample run based on time columns |
instrument_col |
column, denoting different instrument used for measurements |
sample annotation file with a new column new_time_column
with
POSIX-formatted date & new_order_col
used
in some diagnostic plots (e.g.
plot_iRT
, plot_sample_mean
)
sample_annotation_wOrder <- date_to_sample_order( example_sample_annotation, time_column = c('RunDate','RunTime'), new_time_column = 'new_DateTime', dateTimeFormat = c("%b_%d", "%H:%M:%S"), new_order_col = 'new_order', instrument_col = NULL)