R Studio is a free and open source IDE that can be run on Windows, Linux, Mac, or even over the web. I have only tried the Linux and Windows versions thus far. Revolution R is a commercial endeavor that provides some additional functionality and support to R. How to Download and Install R, RStudio, Anaconda on Mac/Windows. Details Last Updated: 01 November 2018. Step 1) Enter command to install R Studio in the Anaconda prompt. Difference between Data Mining and Data Warehouse.
If you are a Mac user and you run the code below, you will get a data frame with 173,962 rows. If you are a Windows user, your dataset will only have 8,999 rows. Can anyone tell me why? And how can I get the data to read into R on my PC?
Difference Between Mac And Windows Os
Here's my data: .txt file
I am working with detection data created by a unique and uncommon software (a passive integrated transponder system, PIT) which sometimes 'scrambles' a row of data and produces strange characters similar to those found in the Wingdings font. My files are text files that are space separated. I had a hunch that these characters might be causing the read problem, but why would a Mac be different?
In an attempt to check if encoding needed to be changed, I ran the following:
and got this: Warning message:In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : invalid input found on input connection 'Stream4_1.13.16t.txt'
2 Answers
I honestly don't know the answer (although my suggestion below might have value) and am only using the answer box because this comment is too large and needs formatting capacity. (I'm the SO respondent who told you that this file was easy to read on a Mac.) This is the top of that file (using the downloaded data from your prior question):
Trying to read this file with read.table is a doomed hope. It is fixed width format for the lines starting with 'D' which are the ones with data. A more sensible approach (once you figure out the encoding and font confusion) would be to use readLines
to creae a txt_obj
, create a selection vector with grepl('^D ', txt_obj)
and then parse with read.fwf.
R Studio For Windows 8.1
42-I received help from an outside source who suggested using the readr package.The code below works and imports all the rows of data.