1/10/2024 0 Comments Engauge digitizer online![]() What are the three codes that failed to match?Īlthough you can compare visually the map produced with the map above, R (and rworldmap) can indirectly give you the culprits: I should have better simply read the documentation: there is another small command that needs not to be overlooked, rwmGetISO3. Well, that was until joinCountryData2Map gave me this reply:ĥ4 codes from your data successfully matched countries in the mapģ codes from your data failed to match with a country code in the mapġ89 codes from the map weren’t represented in your data Most of the time was spent converting the list of countries from plain English to plain “ISO3” code as required (ISO3 is in fact ISO 3166-1 alpha-3). I started to use the R package rworldmap because it seemed the most appropriate for this task. This is the original map (there are 57 countries eligible): I was trying to reproduce the map of the GAVI Alliance eligible countries (btw I was surprised India is eligible – but that’s the beauty of relying on numbers only and not assumptions) in R. Write.xlsx2(outData, "output.xls", sheetName="Random2", col.names=FALSE, row.names=FALSE) ![]() Writing to an Excel file is also very easy: You can read xls, xlsx and xlsm files without issue (well, with the simple formatting I usually use). It is said to be faster with large matrices and I had the opportunity to experience it – so I stick with this. I usually use read.xlsx2 instead of read.xlsx. InData <- read.xlsx2("input.xls", sheetName="Contactmatrix", header=FALSE) Then, reading an Excel file is very easy: Here you don’t need to install any additional files, installing the xlsx package from R does all the dirty work that for you. I use here the simple-yet-powerful xlsx package ( documentation here in PDF project website). Again it seems the Apache POI java library made developers’life easy. The installation takes 30 seconds maximum, download included.įollowing my previous posts on how to read/write Excel files from Matlab here is the way I use to read/write Excel files from R. If you see it, just choose the “Open preferences” button and follow the very intuitive procedure. (*) On MS-Windows, on the first use, you might see a dialog box warning you that you must first install the “PDF tools”. As hinted in the Zotero support page for this function, please re-check the imported reference in case something went wrong (I imported something like 20 references since yesterday with this function and I didn’t spot any error for the moment).īulk import and metadata retrieval works too: just import several PDFs at the same time and, while all of them are selected in Zotero, right-click on them and choose “Retrieve Metadata for PDF”.Īs mentioned earlier, “i t’s just plain efficiency, without bells and whistles“. Most major editors are supported ( it seems Zotero doesn’t actually extract metadata from the PDF but finds these metadata by comparing the PDF content with Google Scholar). Now, it works for most papers I tested yesterday and today. everything goes very fast and they are stored as a normal reference, now on the right. Retrieval of the title, the authors, the journal, etc. However, there is one thing that was missing, imho: the capability to import PDFs (individually or in bulk) and correctly fill in the various fields of the reference.īut in fact, this already exists in Zotero! Just drag a PDF in the middle section (the reference list) then right-click on it and choose “Retrieve Metadata from PDF” (*). I wrote earlier that I really liked Zotero, a reference management software.
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