Attachments have been stripped by the mailing list. Read the Posting Guide.
Also, English can help, but R code can be ever so much more clear in indicating what you have to work with and even what you want out of the broken/missing part of your code. https://cran.r-project.org/web/packages/reprex/index.html (read the vignette) On June 9, 2021 1:28:13 PM PDT, Esthi Erickson <ericksones...@gmail.com> wrote: >Hi, > >I am trying to merge columns from four different .csv files into one >dataframe. I am trying to do something like this >https://statisticsglobe.com/merge-csv-files-in-r . I am taking long >format >.csv files, 1 being the base file (testing-long.csv) which I change to >wide >format first and the three others being supplemental files that should >add >columns plight, plightLitter, Root Biomass, NO3Soil, NH4Soil and then >add >data to cells where the it matches any one of the values for columns, >"Exp", "Year", "Field", "Plot", "NTrt", "NAdd", "NitrAdd", "NAtm.NAdd". >So >the values for the supplemental files need not match every single one >of >the columns listed above and if the value does not match all the >columns >exactly the cell for that column/row should not be filled. When I try >the >method from that website, I do not see the supplemental columns being >added. I am wondering if there is a better way to merge multiple .csv >files. I hope this makes sense, but it is quite confusing even to me, >so I >am more than happy to clarify. I am attaching the files in question. >______________________________________________ >R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >https://stat.ethz.ch/mailman/listinfo/r-help >PLEASE do read the posting guide >http://www.R-project.org/posting-guide.html >and provide commented, minimal, self-contained, reproducible code. -- Sent from my phone. Please excuse my brevity. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
