Browsing for a specialized tool that deals with particular formats can be time-consuming. Regardless of the huge number of online editors available, not all of them are suitable for Rtf format, and certainly not all enable you to make changes to your files. To make matters worse, not all of them provide the security you need to protect your devices and paperwork. DocHub is an excellent solution to these challenges.
DocHub is a popular online solution that covers all of your document editing requirements and safeguards your work with enterprise-level data protection. It works with various formats, such as Rtf, and allows you to edit such paperwork quickly and easily with a rich and user-friendly interface. Our tool meets crucial security regulations, like GDPR, CCPA, PCI DSS, and Google Security Assessment, and keeps enhancing its compliance to provide the best user experience. With everything it provides, DocHub is the most reliable way to Negate cross in Rtf file and manage all of your personal and business paperwork, regardless of how sensitive it is.
Once you complete all of your modifications, you can set a password on your edited Rtf to ensure that only authorized recipients can work with it. You can also save your paperwork containing a detailed Audit Trail to check who applied what changes and at what time. Select DocHub for any paperwork that you need to edit securely. Subscribe now!
hi everyone today were going to show two ways to show crosstabulations in r uh the first one were going to use the function table and next were going to use the function cross table from the package g models for this were going to use a data set i pre pre-made its called example it has 249 observations we have gender we have salary we have years of education family status seniority and position pretty much basic um so as for the table were going to use were going to click table and then were going to see at the rows were gonna see the gender right which is the first first part of the function and as for the second one were gonna see uh the position as for the columns you can also switch that and so first were gonna show the position and then were going to show the gender and then were going to show the gender and if we add we can also add a level if we add a third variable into the table into a table function for instance family status once we click that were going to get
