Officially known as the Weather Underground Organization ( WUO) beginning in 1970, the group's express political goal was to create a revolutionary party to overthrow the United States government, which WUO believed to be imperialist. Originally known as the Weathermen, the group was organized as a faction of Students for a Democratic Society (SDS) national leadership.

Myfile <- paste('NewportWeather',i,'.csv')ĭownload.file(url = myurl, file.The Weather Underground was a far-left militant organization first active in 1969, founded on the Ann Arbor campus of the University of Michigan. The code finished as this: start_date <- as.POSIXct('',tz='gmt')

I also had to chance length(my_dates) to nrow(my_dates) in the for loop. myfile <- paste('NewportWeather',i,'.csv') You will need to change the folder the file is downloaded into to run the code.Īs pointed out, i needed to incorporate i into the filename which I found can be done like this. Is anyone able to help me download all data for the entire date range in either separate files, or all appended onto the same file. When running this, only data for one day is downloaded in the correct file location, not all of them in the date range. Myfile <- paste('NewportWeather',rownames(my_dates),'.csv')ĭownload.file(url = myurl, file.path(folder, myfile, fsep = '\' )) My_dates<-as.integer(unlist(strsplit(as.character(dates),'-'))) Where i is a date between the start and end.Įnd_date <- as.POSIXct(Sys.Date(),tz='gmt')ĭates <- seq.POSIXt(start_date,end_date,by='day') I am running a for loop for the url: myurl <- paste('',station,'&day=',my_dates$day,'&month=',my_dates$month,'&year=',my_dates$year,'&graphspan=day&format=1', sep = '') In order to speed up the run time I am running the code from the 1st of September 2019 to today's date (I will actually need to run for a period of a few years).

I am trying to download historical data from weather underground into csv format by running a for loop with iterations for each date.

Wunderground historical