Sub-setting a data frame is similar to sub-setting a Matrix. There are several different options one can use while sub-setting a data frame. in this video we will look at 7 options that are most widely used in sub-setting the data frame. In this video we ill learn:
- How to subset data frame using row and column index positions
- How to subset data frame using row index positions
- How to subset data frame using column index positions
- How to subset data frame using logical vector
- How to subset data frame using numeric vector
- How to subset data frame using conditional operator
- How to subset data frame using column names
Some handy functions to explore the data frame such as summary( ) function and dim( ) function are also used in this video.
Link to the video - How to access elements in Matrix
• How to access elements...
About Author
-------------------------------------------------------------------------------------------------------------------------------------------------
My name is Siddharth Sahasrabudhe. I am a founder of Plotly Analytics. I help business professionals learn data science using R programming. All my learning resources are easy to follow, thorough and anyone can follow them regardless of one's professional and educational background.
Find out more about plotly analytics here:
plotlyanalytic...
Connect with me on LinkedIn:
/ siddharth-sahasrabudhe...
Connect with me on Twitter:
x.com/PlotlyAn...
For one-on -one or group trainings in R language, please contact me at:
siddharth.sahasrabudhe@plotlyanalytics.com
4 сен 2024
