11.2.1 Visualizing the Sampling Distribution.11.2 Sampling Distribution of the Difference in Sample Means.10.4 Assumptions of the one-sample t-test.10.3 Conducting one-sample t-tests in R.10.2.1 Critical values for the one-sample t-test.8.5 Comparing CIs using the z- and t-distributions.8.4.2 Other Confidence Intervals ranges for t-distribution.8.4.1 t-distribution CIs and sample size.8.4 Calculating a t-distribution Confidence Interval.8.3 Confidence Intervals with t-distribution.8.2.2 Confidence Intervals and Sample Size.8.2.1 Other Confidence Intervals ranges.8.2 Calculating a confidence interval with z-distribution.7.2.1 Sample Size and the Sampling Distribution.7.1.2 Using z-scores to determine probabilities.6.4.8 Sample versus Population Standard Deviation.6.4.6 Average versus Standard Deviation.5.8 Saving and Exporting ggplot2 graphs.5.5 Comparing Distributions across Groups.4.5.3 select() - Selecting specific columns.4.1.2 Numerical Data (Discrete vs. Continuous).3.7 Some things that are useful to know. 1.5 Other places to find help about R and Statistics.1.1 What this book includes and what it doesn’t.Before release, we would also like to add further support for manipulating icons with modifier functions, and resolve an R Markdown issue relating to using icons within headers. This should drastically reduce the load times of documents using icons, and allow the user to import their own icon libraries. The top development priority is transitioning from web-font icons to svg icons. There are plans to submit the icon package to CRAN, however there are a few things we would like to work on first. `r fa_rocket(colour = "#1FA67A")` + `r fa_r_project(colour = "#384CB7")` = `r fa_heart(colour = "red")` Future development Hey, the #rstats logo is #40 on the brand board – go give it some ? so we can get it higher! - Locke Data April 20, 2018įinally, it is possible to use an R package to include the R icon in your R Markdown documents! This addition comes nearly four years since the icon’s first request after being brought into the spotlight of #rstats with LockeData’s tweet. The long-awaited R Project icon has been added to the Font Awesome library in version 5.0.11. We can make the rocket icon spin using `r icon::fa_rocket(animate = "spin")`. This is a useful interface for if you are unfamiliar with the available icons or their names.Įach icon function also provides support for modifying the attributes of the icon such as size, colour, rotation, and animation. To include the rocket icon above, you could instead use `r icon::fa_rocket()`. The package also provides a second interface which allows for tab completion of font names. This interface is convenient if you are familiar with the icon you want, or if you are dynamically selecting your icon. Icons can be added to your R Markdown documents using short prefixes which identify the font’s library.įor example, `r icon::fa("rocket")` can be used to add the rocket icon from Font Awesome. The package currently supports icons from Font Awesome, Academicons, and ionicons. The project began at rOpenSci OzUnconf 2017, and was developed by Mitchell O’Hara-Wild, Earo Wang and Timothy Hyndman. The icon package provides a convenient interface for adding icons from popular web fonts to R Markdown documents.
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