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Tag Archive for r

Fading Colors in a Graph

I have a random graph in R in which one random node is colored red (square) – and all other nodes are colored lighter shades of red relative to their distance from the original node (i.e. based on “degree”):

Trying to sum a column with 0s and 1s [duplicate]

This question already has answers here: Mean of a column in a data frame, given the column’s name (6 answers) calculate the mean for each column of a matrix in R (10 answers) Getting a mean from a portion of a column in a data frame (1 answer) How can I get the average (mean) […]

Error downloading a csv from website with get in R

downloadfilename = paste(“sec_bhavdata_full_”, (format(myDate, “%d%m%Y”)), “.csv”, sep = “”) myURL = paste(““https://nsearchives.nseindia.com/products/content/“”, downloadfilename, sep = “”) GET(myURL, user_agent(“Mozilla/5.0”), write_disk(downloadfilename)) **Error in curl::curl_fetch_memory(url, handle = handle) : Recv failure: Connection was reset** is the response received in using GET with the url. URL – “https://nsearchives.nseindia.com/products/content/sec_bhavdata_full_24092024.csv” Is it possible to download the csv file Using library(httr) ? […]

Error downloading a csv from website with get in R

downloadfilename = paste(“sec_bhavdata_full_”, (format(myDate, “%d%m%Y”)), “.csv”, sep = “”) myURL = paste(““https://nsearchives.nseindia.com/products/content/“”, downloadfilename, sep = “”) GET(myURL, user_agent(“Mozilla/5.0”), write_disk(downloadfilename)) **Error in curl::curl_fetch_memory(url, handle = handle) : Recv failure: Connection was reset** is the response received in using GET with the url. URL – “https://nsearchives.nseindia.com/products/content/sec_bhavdata_full_24092024.csv” Is it possible to download the csv file Using library(httr) ? […]

Is it possible to join a dataframe to a geographical shapefile?

I have two files in R (f1, f2) that have names of countries (each country only appears once in each file). I want to perform a join on both files using an inner join, and then the rows that don’t match, I would use a fuzzy join to approximately match them.