Whether you are already used to working with RPT or handling this format the very first time, editing it should not feel like a challenge. Different formats may require particular apps to open and edit them properly. Yet, if you need to quickly set text in RPT as a part of your typical process, it is advisable to find a document multitool that allows for all types of such operations without the need of additional effort.
Try DocHub for efficient editing of RPT and also other file formats. Our platform provides easy document processing regardless of how much or little prior experience you have. With all tools you have to work in any format, you won’t have to switch between editing windows when working with every one of your files. Easily create, edit, annotate and share your documents to save time on minor editing tasks. You will just need to register a new DocHub account, and then you can start your work immediately.
See an improvement in document processing efficiency with DocHub’s straightforward feature set. Edit any file easily and quickly, regardless of its format. Enjoy all the benefits that come from our platform’s simplicity and convenience.
Hi! I am Mike Marin and in this video well talk about how to add some descriptive text to a plot created in R. Quite often one would like to enhance an existing plot by adding some descriptive text to the plot. We will be working with the Lung Capacity data that was introduced earlier in this series of videos. Ive already gone ahead and imported the data into R and attached it. we will add some text to the plot using the text and the mtext commands. To access the Help menu you can type help and in brackets the name of the command youd like hope for, place a question mark in front of the command name or you can type the command name over here in the help search window. First lets go ahead and make a scatterplot of the Lung Capacity versus the Age. For help producing a scatterplot you can see my earlier video on producing scatterplots in R. We will use the plot command and plot age versus lungcap. Well also give this plot a title and we will call it Scatterplot of LungCap