

- RMARKDOWN SUPERSCRIPT PDF
- RMARKDOWN SUPERSCRIPT INSTALL
- RMARKDOWN SUPERSCRIPT FULL
- RMARKDOWN SUPERSCRIPT SOFTWARE
RMARKDOWN SUPERSCRIPT SOFTWARE
There are different solutions to generate a Word document from R software : Word document is one of the file formats widely used by many people, including researchers, for editing their text and tracking changes between different authors. Add a table of contents into a Word document.Add lists : ordered and unordered lists.Change the appearance of a “Piece Of Text” (pot).Change the global font size and font family.

Format the text of a Word document using R software.Add texts : title and paragraphs of texts.
RMARKDOWN SUPERSCRIPT INSTALL

Here I use indexing to turn every value in the first column of correlations into text string. The problem is that this turns numbers to text strings, so every other value in that column will also be a text string, and the digits= argument will no longer be able to round things. This is inconsistent with what the American Statistical Association has outlined for good statistical practice.īut, if you insist on poor statistical decisions (he says snarkily) you can also use indexing to add the stars. I would not personally add the significance stars to the correlations in the table. To alleviate the off-diagonal hyphens in the correlation part of the table we need to set the “-” value to blank text. $^b$Tuition is measured in thousands of dollars.",
RMARKDOWN SUPERSCRIPT FULL
I also employ similar kableExtra function from those introduced in Part 1 and and Part 2 to make the table the full page width, include the footnote, center the header names, and increase the width of the first column. (Since the first column is text we set this to NA.) The digits= argument is included to round the values in each column. I will then pipe this into the kable() function to set the column names, column alignment, and table caption. I will inlcude these in the footnote to define these variables. Note the use of $^a$ and $^b$ to produce superscripts of “a” and “b” respectively. The next thing I will do is to change the text in the rowname column to correspond to similar rownames in Table 7.10. Tab_03 # rowname n M SD grad public sat tuition Then I will combine these two into a single data frame to use with kable(). I will compute these and store them in a second data frame. We will also need the correlations between each set of variables. I will compute these and store them in a data frame. We need to compute the sample size, mean, and standard deviation for each of the four variables. The data in were collected from and contain 2011 institutional data for n=33 Minnesota colleges and universities. # 4 Bethel University, Saint Paul, MN 73.3 0 1145 39.4 In the RMarkdown body, I will load a few packages and also import a data set that I will use to create the summary values akin to those in Table 7.10.
RMARKDOWN SUPERSCRIPT PDF
I will again render to PDF and set up the YAML to import the caption package (LaTeX) and set up the APA caption formatting.
