diff --git a/02-data-structures.Rmd b/02-data-structures.Rmd index 1c1a3c4..72dca2f 100644 --- a/02-data-structures.Rmd +++ b/02-data-structures.Rmd @@ -2,6 +2,13 @@ In our second lesson, we start to look at two **data structures**, **vectors** and **dataframes**, that can handle a large amount of data. +## Slides + +```{r} +knitr::include_url("https://hutchdatascience.com/Intro_to_R/slides/lesson1_slides.html") +``` + + ## Vectors In the first exercise, you started to explore **data structures**, which store information about data types. You played around with **vectors**, which is a ordered collection of a data type. Each *element* of a vector contains a data type, and there is no limit on how big a vector can be, as long the memory use of it is within the computer's memory (RAM). diff --git a/index.Rmd b/index.Rmd index 63b291e..132bfc2 100644 --- a/index.Rmd +++ b/index.Rmd @@ -70,7 +70,7 @@ tladera2@fredhutch.org **Preferred Method of Contact**: Email/Slack **Expected Response Time**: 24hrs -I've been teaching R for over 10 years, and have been an active user and data scientist for over 20. I write a lot, including on Data Science, Mental Health, and Bioinformatics. +I've been teaching R for over 10 years, and have been an active user of R, a bioinformatician, and data scientist for over 20. I write a lot, including on Data Science, Mental Health, and Bioinformatics. I'm always excited to see my learners surpass me, and if you are curious enough, I guarantee you will. diff --git a/render_slides.R b/render_slides.R index 881656a..b419569 100644 --- a/render_slides.R +++ b/render_slides.R @@ -13,5 +13,6 @@ map(slides_top, quarto::quarto_render) all_files <- list.files(".", "lesson") file.copy(all_files, "slides", overwrite = TRUE) - +file.copy(all_files, "docs", overwrite=TRUE) file.remove(all_files) + diff --git a/slides/lesson1_slides.html b/slides/lesson1_slides.html index 5d0b69d..ba151cb 100644 --- a/slides/lesson1_slides.html +++ b/slides/lesson1_slides.html @@ -1290,11 +1290,6 @@

Culture of the course

Format of the course

-
-
-
@@ -1457,7 +1452,7 @@

Function machine from algebra class

Function machine from algebra class.

-

Operations are just functions. We could have written:

+

Operations are functions. We could have written:

sum(18, 21)
diff --git a/slides/lesson4_slides.html b/slides/lesson4_slides.html index 72f772a..823cd5c 100644 --- a/slides/lesson4_slides.html +++ b/slides/lesson4_slides.html @@ -1437,7 +1437,7 @@

Merging two dataframes together

Merging two dataframes together: variations

-
+

Given xxx_join(x, y, by = "common_col"),

  • full_join() keeps all observations.

    • diff --git a/slides/lesson5_slides.html b/slides/lesson5_slides.html index eeea5f0..a9bd930 100644 --- a/slides/lesson5_slides.html +++ b/slides/lesson5_slides.html @@ -1220,7 +1220,7 @@

    W5: Data Visualization

    Data Visualization

    -
    +

Common Plots

Univariate

diff --git a/slides/lesson6_slides.html b/slides/lesson6_slides.html index c0405bb..c3ae067 100644 --- a/slides/lesson6_slides.html +++ b/slides/lesson6_slides.html @@ -1199,7 +1199,7 @@

Please fill out survey!

Last but not least…stickers!

-

+

Make your own sticker, add it to the wall of DaSL students!