read_sas

path

Optional, the file path to the SAS catalog file.

path.cat

Logical, if <code>TRUE</code>, categorical variables imported
from the dataset (which are imported as <code><a rd-options="" href="/link/atomic?package=sjmisc&version=2.0.1" data-mini-rdoc="sjmisc::atomic">atomic</a></code>) will be
converted to factors.

atomic.to.fac

The character encoding used for the file. This defaults to the encoding
specified in the file, or UTF-8. Use this argument to override the default
encoding stored in the file.


Imports data from SAS (<code>.sas7bdat</code>), including NA's,
               value and variable labels.


Collection of miscellaneous utility functions (especially intended
for people coming from other statistical software packages like 'SPSS', and/
or who are new to R), supporting following common tasks when working with
data : 1) Reading and writing data between R and other statistical software
packages like 'SPSS', 'SAS' or 'Stata' and working with labelled data; this
includes easy ways to get and set label attributes, to convert labelled
vectors into factors (and vice versa), or to deal with multiple declared
missing values etc. 2) Data transformation tasks like recoding,
dichotomizing or grouping variables, setting and replacing missing values.
The data transformation functions also support labelled data.

Daniel Lüdecke

sjmisc

Data Transformation and Labelled Data Utility Functions

read_sas function

Logical, if <code>TRUE</code>, categorical variables imported
from the dataset (which are imported as <code><a rd-options='' href='atomic'>atomic</a></code>) will be
converted to factors.

read_sas: Import SAS dataset as data frame into R

Description

Usage

Arguments

Value

See Also