[R] how to remove ( ) ? when using write.csv(chron.object)
Hello all, I don' like to have ( ) around my datetime, when send the csv file to somebody. How to remove it? library(chron) mydate - c(2009-05-03,2009-06-07) mytime - c(10:30:00,10:20:00) mydatetime - chron(dates=mydate,times=mytime,format=c(y-m-d,h:m:s)) write.csv(mydatetime) ,x 1,(09-05-03 10:30:00) 2,(09-06-07 10:20:00) thanks! Jeff [[alternative HTML version deleted]] __ R-help@r-project.org mailing list 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.
[R] How to use write.csv(x=zoo.object), and how to let the first column corret?
Use write.csv to output a zoo object, and found the first column in excel like: (08-10-16 13:12:00) How to make it look like : 10/16/2008 13:12:00 ? write.csv(x=zoo.object) Thanks! [[alternative HTML version deleted]] __ R-help@r-project.org mailing list 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.
[R] how to input multiple .txt files
how to input multiple .txt files? A data folder has lots of .txt files from different customers. Want to read all these .txt files to different master files: such as: cust1.xx.txt, cust1.xxx.txt, cust1..txt,.. to master file: X.txt cust2.xx.txt, cust2.xxx.txt, cust2..txt,.. to master file: Y.txt Thanks! [[alternative HTML version deleted]] __ R-help@r-project.org mailing list 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.
[R] How to: Read Multi-filtes and sort to different files
new R user has a question: I have several hundreds of .txt files from different monitoring sites over several years. (1) different site has a unique name( such as : ST2.20090321.txt = Sation 2 2009 March 21 data, ST3.20090322=Station3, 2009, March 22 data). (2) different site has different file header, but for the same site, the header is the same. for example: Sation 2 date time wind CO2 2009 10:30 2 3 station 3 data time solar NO 2009 10:20 4 5 Question: How to write a R program to read all these files, and combine the data from each station to one file (such as: ST2.master will save all the data from station 2, and ST1.master will save all the data from station 1) ? Thanks a million times! Jeff [[alternative HTML version deleted]] __ R-help@r-project.org mailing list 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.
[R] Looking for program for sample size determination
we have some initial data from our field sampling. From the means and variances, we see your sampling field is much heterogeneous (not uniform). We are looking for a R program for sampling size determination. Right now, we are not good enough to write a whole R program, so please help. [[alternative HTML version deleted]] __ R-help@r-project.org mailing list 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.
[R] How to monthly,daily,yearly average
Sorry, this is my first time to post. I have a big data set: first colume is date (ex: 2008-2-150, the second is time (10:30:00), and the following columes are variaty measurement data. Every 30 min, I have one data. I want to find an effecient way to calculate the hourly, daily, monthly and yearly average, and plot them, and eventually use these average data to do further analysis. Thanks! Jeff [[alternative HTML version deleted]] __ R-help@r-project.org mailing list 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.
