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Using the root_columns
results in duplicated data for each quadrat
#23
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Can you add as much information as you can to make this issue stand alone? A reproducible example would be best. Or whatever you can share to show the problem. What are the dependencies, the functions, inputs and outputs you use? I suspect the problem is in the internal method used to join tables. What you want seems to be the results of something like From https://dplyr.tidyverse.org/reference/join.html Mutating joins combine variables from the two data.frames: inner_join() left_join() right_join() full_join() Filtering joins keep cases from the left-hand data.frame: semi_join() anti_join() Nesting joins create a list column of data.frames: nest_join() |
4112019-07-30EK.xlsx Run the devtools to connect to fgeo.misc from GitHub - install any packages needed if "there is no package called xxx" appears in the console
call in necessary packages (if not installed, use install.packages then library for each package)
Connect to the file location in Dropbox. Change based on Hectare folders
Connect to the consolidated files folder for saving the single sheet workbooks once running the code. Change for Hectare folders
Create a list of the files without writing them to a location
Consolidate to 1 fileproducing duplicate rows using the root_columns to add 'team' to the output - one set of quadrat data has the date, and the other copy of the quadrat has the team
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