vasupwi.blogg.se - Stata citrix on mac how to import data file

#Stata citrix on mac how to import data file install#
#Stata citrix on mac how to import data file code#

You should now see your dataset in a new window and from there you can start analyzing your data.

#Stata citrix on mac how to import data file code#

Change this option if missing values in your raw data are coded as “NA” or “0” (tip: do not code yourself missing values as “0”, otherwise you will not be able to distinguish the true zero values and the missing values)Īfter changing the import options corresponding to your data, click on “Import”. From our raw data above, you can see that missing values are simply empty cells, so leave NA to default or change it to “empty”. NA: how missing values are specified (default is empty cells).Change it to semicolon if your values are separated by “ ” From our raw data above, you can see that the delimiter is a comma (“,”). Delimiter: the character which separate the values.First Row as Names: specify whether the variables names are present or not (default is that variables names are present).However, if your file contains some blank rows at the top (or information you want to disregard), set the number of rows to skip Skip: specify the number of top rows you want to skip (default is 0).However, the main drawback with using specific names for datasets is that if, for instance, you want to reuse the code you created while analysing tennis data on other datasets, you will need to edit your code by replacing all occurrences of “tennis_data” by the name of your new dataset You could use more explicit names such as “tennis_data” if you are using data on tennis matches for example. I personally rename my datasets with a generic name such as “dat”, others use “df” (for dataframe), “data”, or even “my_data”.

Avoid special characters and long names (as you will have to type the name of your dataset several times).

Name: set the name of your data set (default is the name of the file).

Below, the import options you will most likely use: If this is not the case, you can change the import options at the bottom of the window (below the data preview) corresponding to the information you gathered when looking at the raw data. If your data have been correctly imported, you can click on “Import”.

No matter what type of file and how you import it, there is one gold standard regarding how datasets are structured: columns correspond to variables, rows correspond to observations (in the broad sense of the term) and each value must have its own cell (known as tidy format):įrom this window, you can have a preview of your data, and more importantly, check whether your data seems to have been imported correctly.

There are several other ways to import an Excel file (probably even some I am not aware of), but I present the two most simple yet robust ways to import such files.

I focus here only on Excel files as it is the most common type of file for a dataset

How to import a dataset often depends on the format of the file (Excel, CSV, text, SPSS, Stata, etc.).

I also discuss about the main advantages and disadvantages of both methods. In this article I present two different ways to import an Excel file (i) via the text editor and (ii) in a more “user-friendly” way. As you will most likely use R with your own data, being able to import it into R is crucial for any user. However, it would not be so powerful and useful without the possibility to import datasets into R.

#Stata citrix on mac how to import data file install#

As we have seen in this article on how to install R and RStudio, R is useful for many kind of computational tasks and statistical analyses.