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Thank you! This would not have been possible without your initial help. It’s also possible to choose a file interactively using the function file.choose (), which I recommend if you’re a beginner in R programming: Read a txt file mydata <- lim (file.choose ()) Read a csv file mydata <- read.csv (file.choose ()) If you use the R code above in RStudio, you will be asked to choose a file. $(cat $input | cut -d " " -f $ -input,$newfile out_$i.nc < tmp.txt nance - e.g., daily exchange rate, a share price, etc. economics - e.g., monthly data for unemployment, hospital admissions, etc. Time series data occur naturally in many application areas. #- generate the grid description file for $input 1 Models for time series 1.1 Time series data A time series is a set of statistics, usually collected at regular intervals. Rcpp - Write R functions that call C++ code for lightning fast speed. quantmod - Tools for downloading financial data, plotting common charts, and doing technical analysis.
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xts - Very flexible tools for manipulating time series data sets. Lon=$(echo $input | cut -d "_" -f 3) #- longitude value zoo - Provides the most popular format for saving time series objects in R. Lat=$(echo $input | cut -d "_" -f 2) #- latitude value In order to treat these data as a proper time series, well need to create a time variable. Use the following code to arrive at our time series graph: ggplot (mydata, aes (xdate)) + geomline (aes (yunemploy)) R. Now we are all set to create a time series plot in R. Variables=("var1" "var2" "var3" "var4" "var5" "var6") #- variable names Load the file into R using the corresponding command. If you are interested, ggplot2 package has a variety of themes to choose from. To convert such an ASCII file where the columns are the 6 different variables you have to write a script to select each variable from the input ASCII file, create a grid description file, and define the starting time.