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Multi-Dataset Join Utility

Source:R/multi_join.R
multi_join.Rd

This function performs a sequential join of multiple datasets by a specified key column.

Usage

multi_join(datasets,  key=c("record_id","covid_wave","center"),  join_type="left")

Arguments

datasets

A list of data frames to be joined.

key

A character string representing the key column to join by. Defaults to "record_id".

join_type

A character string specifying the type of join. Options are "left", "right", "inner", or "full".

Value

A single data frame containing the joined datasets.

Examples

multi_join(list(analytics,comorbidities),  join_type="left")#># A tibble: 5,813 × 43#>    record_id covid_wave center   analytics_available total_leukocytes hemoglobin#><int><fct><fct><chr><dbl><dbl>#> 1         1 Wave 2     Hospita… NoNANA#> 2         2 Wave 2     Hospita… Yes                             3.94       12.9#> 3         3 Wave 3     Hospita… Yes                             6.9        10#> 4         4 Wave 3     Hospita… Yes                             8.77       12.9#> 5         5 Wave 2     Hospita… NoNANA#> 6         6 Wave 1     Hospita… Yes                             3.81NA#> 7         7 Wave 1     Hospita… Yes                             6.7        15.9#> 8         8 Wave 1     Hospita… Yes                             4.6        12.9#> 9         9 Wave 2     Hospita… Yes                             6.51        9.4#>10        10 Wave 1     Hospita… Yes                             8.6        14.2#># ℹ 5,803 more rows#># ℹ 37 more variables: total_lymphocytes <dbl>, d_dimer <dbl>,#>#   c_reactive_protein <dbl>, sociofunctional <fct>, frailty <fct>,#>#   barthel_score <dbl>, weight <dbl>, height <dbl>, body_mass_index <dbl>,#>#   dm <fct>, type_dm <fct>, chronic_lung_disease <fct>,#>#   chronic_kidney_disease <fct>, mild_kidney_disease <fct>,#>#   renal_therapy <fct>, heart_disease <fct>, coronary_disease <fct>, …multi_join(list(analytics,comorbidities),  key=c("record_id","covid_wave","center"),  join_type="left")#># A tibble: 5,813 × 43#>    record_id covid_wave center   analytics_available total_leukocytes hemoglobin#><int><fct><fct><chr><dbl><dbl>#> 1         1 Wave 2     Hospita… NoNANA#> 2         2 Wave 2     Hospita… Yes                             3.94       12.9#> 3         3 Wave 3     Hospita… Yes                             6.9        10#> 4         4 Wave 3     Hospita… Yes                             8.77       12.9#> 5         5 Wave 2     Hospita… NoNANA#> 6         6 Wave 1     Hospita… Yes                             3.81NA#> 7         7 Wave 1     Hospita… Yes                             6.7        15.9#> 8         8 Wave 1     Hospita… Yes                             4.6        12.9#> 9         9 Wave 2     Hospita… Yes                             6.51        9.4#>10        10 Wave 1     Hospita… Yes                             8.6        14.2#># ℹ 5,803 more rows#># ℹ 37 more variables: total_lymphocytes <dbl>, d_dimer <dbl>,#>#   c_reactive_protein <dbl>, sociofunctional <fct>, frailty <fct>,#>#   barthel_score <dbl>, weight <dbl>, height <dbl>, body_mass_index <dbl>,#>#   dm <fct>, type_dm <fct>, chronic_lung_disease <fct>,#>#   chronic_kidney_disease <fct>, mild_kidney_disease <fct>,#>#   renal_therapy <fct>, heart_disease <fct>, coronary_disease <fct>, …

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