Saving r data. we frequently need to save our data after we have worked on it for some time (e.g., because we've created scaled or deleted variables, created a subset of our original data, modified the data in a time- or processor-intensive way, or simply need to share a subset of the data).. The 'write.csv( )' command can be used to save an r data frame as a .csv file. while variables created in r can be used with existing variables in analyses, the new variables are not automatically associated with a dataframe. for example, suppose we read in a .csv file under the dataframe name. Save r objects description. save writes an external representation of r objects to the specified file. the objects can be read back from the file at a later date by using the function load or attach (or data in some cases)..
Save() and load() will be familiar to many r users. they allow you to save a named r object to a file or other connection and restore that object again. they allow you to save a named r object to a file or other connection and restore that object again.. Alternatively, any dataset you pull into r using the read.csv(), read.dta(), or read.xport() functions (see my blog post about this here), will automatically be a dataframe. what’s important to note about dataframes is that the variables in your dataframe also have classes.. Load can load r objects saved in the current or any earlier format. it can read a compressed file (see save ) directly from a file or from a suitable connection (including a call to url ). only r objects saved in the current format (used since r 1.4.0) can be read from a connection..
