Gives inconsistencies between the sample and the measurement in terms of presence — logbook_sample_without_measure

The purpose of the logbook_sample_without_measure_control function is to provide a table of data that contains an inconsistency between the sample and the presence of measurement

logbook_sample_without_measure_control(dataframe1, dataframe2, output)

Arguments

dataframe1: data.frame expected. Csv or output of the function data_extraction, which must be done before using the logbook_sample_without_measure_control() function.
dataframe2: data.frame expected. Csv or output of the function data_extraction, which must be done before using the logbook_sample_without_measure_control() function.
output: character expected. Kind of expected output. You can choose between "message", "report" or "logical".

Value

The function returns a character with output is "message", a data.frame with output is "report", a logical with output is "logical"

Details

The input dataframe must contain all these columns for the function to work :

samplespecies_id

samplespeciesmeasure_id
samplespecies_id

Examples

#Sample species 1 is ok,
#Sample species 2 has no sample species measure
dataframe1 <- data.frame(samplespecies_id = c("1", "2"))
dataframe2 <- data.frame(samplespeciesmeasure_id = c("1", "2"),
                         samplespecies_id = c("1", "1"))
logbook_sample_without_measure_control(dataframe1, dataframe2, output = "report")
#>   samplespecies_id logical
#> 1                1    TRUE
#> 2                2   FALSE