Downloading dta files in r

I am running into some errors. It seems like R cannot plot these factor doubles. Do you have a recommendation on how to transform these data types further so that they can be graphed more easily? Thank you, Benjamin. Our Blog. The read. Another way to read. Here's an example on how to read a dta file from a URL:.

This may be useful when we plan to analyze some specific variables from very large datasets. First, we are going to read only one column. In the code chunk below, we are reading the "pbeef" column. Now, if we want to read many columns from the.

We have now learned how to read a Stata file in R, the next step might be to inspect the dataframe, visualize the data, and if we have categorical data we should dummy code them. See the posts on how to create scatter plots in R with ggplot2 and how to create dummy variables in R. In this section, we will learn how to write a dataframe to a Stata file. First, we will learn how to do some data manipulation on a. Second, we are going to learn how to read an Excel file in R and save it as a Stata file.

In the example below, we are first going to load a. Second, we are going to remove columns in R using dplyr. Finally, when we have deleted the columns we don't want, we are going to save the dataframe as a. In the code chunk, above, we did not do anything new for this post. Now, in the next code chunk, we are deleting two columns. Note, before saving your dta file you might want to use R to remove duplicate rows and columns from the data frame. This can be done either using the functions duplicated or unique.

In this section, we are going to work with another R package, from the tidyverse package; readr. After we have imported the CSV to a dataframe we are going to save it as a. After we have done that, we will save this Excel file as a Stata file.

In this post, we have learned how to read Stata files in R. Specifically, we've learned how to load. Furthermore, we have learned how to write R dataframes to Stata files, as well as loading data from Excel and CSV files to save them as.

Your email address will not be published. The video does not only show another example for the application of the download. It also explains how to import this data to R or RStudio. Please accept YouTube cookies to play this video.

By accepting you will be accessing content from YouTube, a service provided by an external third party. YouTube privacy policy. Accept YouTube Content. In addition, you might also want to have a look at the other R tutorials on this website. This article explained how to download data from the internet with the download. I case you have any further questions, let me know in the comments. I think the code shown in this tutorial is still useful, because it creates a copy of the data on your computer.

Unfortunately, it seems like I have missed answering your question. Do you still have problems with this?