There are plenty of options for reading csv files. For built-in solutions look at ?read.csv or at read_csv from the package reader.
If the measurements are ordered in columns rather than in rows, reading the data can be very slow. HTH Ulrik Mohammad Areida <areid...@gmail.com> schrieb am Mo., 16. Apr. 2018, 13:25: > Hi, I'm working on R trying to find a distribution that fits data from a > csv file. The csv contains data on pressure exerted by a certain vehicle in > terms of pressure [kPa] and I have around 3000 data points. > > I want to call forth this csv and by using (fitdistr) or if you could > recommend a function to use, get a plot of my csv and the distributions I > can compare it to (Weibull, chi, beta, etc). Now im a complete amateur with > the program R, and I can't write a code to call forth the csv with every > data point. I’ve been stuck trying to write a code that works for over a > week and have not gotten it to work. I've come to the conclusion that this > is the only program capable enough to help me plot the distributions to my > data, any help is greatly appreciated! > > Kind regards > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. > [[alternative HTML version deleted]] ______________________________________________ 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.
