Step 2 You need to install rjava in R. We recommended you to install R and Rstudio with Anaconda. Anaconda manages the dependencies between libraries. In this sense, Anaconda will handle the intricacies of rJava installation. First of all, you need to update conda and then install the library.
You can copy and paste the next two lines of code in the terminal. Step 3 Finally, it is time to install xlsx. Once again, you can use conda to do it:. Exporting data to different software is as simple as importing them. First of all, import the library. Last but not least, R is equipped with fantastic libraries to interact with the cloud computing services. Note : This part of the tutorial assumes you have an account with Google and Dropbox.
You need to install the library googledrive to access the function allowing to interact with Google Drive. The library is not yet available at Anaconda. You can install it with the code below in the console. For non-conda user, installing a library is easy, you can use the function install. It is worth to see it in action. Google successfully uploaded the file located locally on the Drive.
Active Oldest Votes. Improve this answer. Iman Iman 1, 12 12 silver badges 33 33 bronze badges. The answer is a bit late but I think it is still worthwhile to provide a solution. Camilo Aguilar Camilo Aguilar 11 2 2 bronze badges. Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Post as a guest Name. Email Required, but never shown. The Overflow Blog. Who owns this outage? This is illustrated in the following R code :.
However, the method is very repetitive. You will find in the next section a simple function to add different types of data in a single call. This section provides an R function to easily export multiple R objects to an Excel Workbook in a single call. The different objects data are written in different worksheets from the same Excel workbook. The object names are used for naming the different sheets.
This function is inspired from the one published on statmethods website. The function xlsx. Use the R code below to save mtcars a data frame , Titanic a table , AirPassengers a time series and state. The function write. The goal of this section is to show you how to create a nice Excel report containing a formatted data table and plots.
In the next sections, I will show you step by step how to change the appearance of Excel worksheet in R. Note that, formatting Excel worksheets using xlsx R package requires some hard coding. This is why, I recently implemented the r2excel package which depends on xlsx package and it provides an easy to use functions to quickly import data from Excel files and to create a nice Excel report.
The function createWorkbook can be used. It works for both. The R function CellStyle can be used to create cell styles. A simplified format of the function is :. Don't worry about grabbing the data in XL format. You can parse the data directly with R. Most websites use a consistent naming convention, so using a for loop and building the URLs for your datasets will be easy.
Below is an example of parsing your page, directly with R, into a data. If you are using R for the first time, you can install external packages pretty easily with the command install. It really flattened the learning curve for me on a ton of levels. You can probably just use download. I don't think you can skip lines reading in. Stack Overflow for Teams — Collaborate and share knowledge with a private group.
Create a free Team What is Teams? Collectives on Stack Overflow. Learn more. Download a xls file from url into a dataframe Rcurl?
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