View source: R/data_aggregation.R
pivot_data | R Documentation |
Make pivot data
pivot_data( rawdata_grouped, cols_to_ignore = "unit", key_col = "model", value_col = "quantity_sum" )
rawdata_grouped |
grouped rawdata as retrieved by function group_data() |
cols_to_ignore |
column names not to be considered for transforming the data from the "list" to the "wide" format with tidyr::spread() (default: "unit") |
key_col |
column name containing the key for transforming the data from the "list" to the "wide" format with tidyr::spread() (default: "model") |
value_col |
column name containing the values that will be used during transforming the data from the "list" to the "wide" format with tidyr::spread() (default: "quantity_sum") |
data.frame with the aggregated results for all different"lci_method"
zipfile <- system.file("extdata/umberto-nxt_v7.1.0.13.503/Beispiel_Auswertung.zip", package = "kwb.umberto") umberto7_csv_dir <- file.path(tempdir(), "Beispiel_Auswertung") unzip(zipfile, exdir = umberto7_csv_dir) umberto7_rawdata <- kwb.umberto::import_rawdata(csv_dir = umberto7_csv_dir) umberto7_data_grouped <- kwb.umberto::group_data(umberto7_rawdata) umberto7_data_pivot <- kwb.umberto::pivot_data(umberto7_data_grouped) head(umberto7_data_pivot) umberto10_csv_dir <- system.file("extdata/umberto-lca+_v10.1.0.3.146", package = "kwb.umberto") umberto10_rawdata <- kwb.umberto::import_rawdata(csv_dir = umberto10_csv_dir) umberto10_data_grouped <- kwb.umberto::group_data(umberto10_rawdata) umberto10_data_pivot <- kwb.umberto::pivot_data(umberto10_data_grouped) head(umberto10_data_pivot)
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