portthink.blogg.se - Rmarkdown hide code folding

Rmarkdown hide code folding how to#
Rmarkdown hide code folding install#

5.5.2 Interpretation of a confidence interval.

5.4.1 An example of bootstrapped standard errors.

5.3.2 Using R to generate fake data to explore the standard error.

5.3.1 Using Google Sheets to generate fake data to explore the standard error.

5.3 Simulations – using fake data as an intuition pump.

5.1 Standard errors are used to compute p-values and confidence intervals.

5 Variability and Uncertainty (Standard Deviations, Standard Errors, and Confidence Intervals).

Part III: Some Fundamentals of Statistical Modeling.

Rmarkdown hide code folding how to#

4.2.9 How to add the interaction effect to response and effects plots.4.2.8 How to combine the response and effects plots.4.2.6 How to generate a Response Plot with a grid of treatments using ggplot2.4.2.5 How to generate a Response Plot using ggpubr.4.2.4 How to use the Plot the Model functions.4.2.3 Be sure ggplot_the_model is in your R folder.4.1.3 Combining Effects and Modeled mean and CI plots – an Effects and response plot.4.1.2 Pretty good plot component 2: Modeled mean and CI plot.4.1.1 Pretty good plot component 1: Modeled effects plot.4.1 Pretty good plots show the model and the data.3.5.2 Reshaping data – Transpose (turning the columns into rows).3.2 Use the here function to construct the file path.3.1 Long data format – the way data should be.3 Data – Reading, Wrangling, and Writing.

2.11 Let’s play around with an R Markdown file.

2.10 Create and setup an R Markdown document (Rmd).

2.9 Working on a project, in a nutshell.

2.8 Create an R Studio Project for this textbook.

2.4 If you didn’t modify the workspace preferences from the previous section, go back and do it.

2.3 Open R Studio and modify the workspace preference.

Rmarkdown hide code folding install#

2.2 Download and install R and R studio.2 Getting Started – R Projects and R Markdown.This, raises the question, what is “an effect”? 1.1 This text is about using linear models to estimate treatment effects and the uncertainty in our estimates.1 Analyzing experimental data with a linear model.including mapping between linear models and classical tests.Why bother with linear models – aren’t t-tests and ANOVA good enough?.To add collapsible sub-sections (within the main header) simply add another '#', and so on.

To add a collapsible section: proceed title with '#', all code below will fall within this title and can be collapsed. I realise this question was posted some time ago but as a newbie to Google Colab myself I thought it would be helpful to share what I have found useful when 'collapsing' sections of code and generally organising code within my notebooks. You can collapse cells by adding this to the top of the cell and then double clicking on the white space that appears to the right of it. This image is the result of the previous image ( note the magic triangle on the left): This image illustrates how to create a section: You can fold and unfold sections by clicking on the triangle next to their title. This is how you create title in Markdown: # This is a title # This is a smaller title # This is even a smaller title. You can create a section by creating a text cell that starts with #. The black triangle, that makes it possible to fold and unfold sections, appears when you create a section (which is equivalent to creating a title).

Right-click again in the same place and choose "Form > Hide code".

You can enter a title for your cell after the keyword (first line in your cell code).

You right-click on the area on the left of the cell (below the "Play" button) and choose "Add a form".