Collaborating with Overleaf Users using RStudio
David Kahle
Collaborating with Overleaf Users using RStudio
13:32
4373 08 glue and stringr pt2
David Kahle
4373 08 glue and stringr pt2
43:05
4373 08 glue and stringr pt1
David Kahle
4373 08 glue and stringr pt1
32:42
Command line environments
David Kahle
Command line environments
19:13
11 Clustering
David Kahle
11 Clustering
13:06
10 Introduction to classification models
David Kahle
10 Introduction to classification models
14:42
9 Regression models in R III
David Kahle
9 Regression models in R III
24:18
8 Other regression strategies
David Kahle
8 Other regression strategies
11:45
7 Regression models in R II
David Kahle
7 Regression models in R II
6:50
6 Model assessment and selection
David Kahle
6 Model assessment and selection
16:03
3 Simple linear and polynomial regression
David Kahle
3 Simple linear and polynomial regression
14:32
5 Multiple linear regression
David Kahle
5 Multiple linear regression
12:34
4 Regression models in R 1 Full
David Kahle
4 Regression models in R 1 Full
21:53
2 Mathematical preliminaries
David Kahle
2 Mathematical preliminaries
4:09
1 Regression preliminaries
David Kahle
1 Regression preliminaries
6:04
0 Introduction to Regression Models
David Kahle
0 Introduction to Regression Models
0:44
7 lubridate
David Kahle
7 lubridate
6:13
6 tidyr
David Kahle
6 tidyr
10:16
5 dplyr
David Kahle
5 dplyr
23:04
4 tibble and readr
David Kahle
4 tibble and readr
7:59
3 The pipe operator
David Kahle
3 The pipe operator
4:28
2 The tidyverse
David Kahle
2 The tidyverse
4:33
1 Cognitive Model of a Data Science Project
David Kahle
1 Cognitive Model of a Data Science Project
3:44
0 Intro to tidyverse
David Kahle
0 Intro to tidyverse
0:57
Installing R Markdown Components
David Kahle
Installing R Markdown Components
4:18
4 - Working with RStudio
David Kahle
4 - Working with RStudio
13:26
3 - Customizing RStudio
David Kahle
3 - Customizing RStudio
1:54
2 - Installing RStudio
David Kahle
2 - Installing RStudio
1:48
1 - Installing R
David Kahle
1 - Installing R
2:06
5 - Functions
David Kahle
5 - Functions
12:16
4 - Conditionals and Looping
David Kahle
4 - Conditionals and Looping
9:40
3 - Lists and Data Frames
David Kahle
3 - Lists and Data Frames
12:35
2 - Vectors and Statistics
David Kahle
2 - Vectors and Statistics
12:44
1 - R as Calculator
David Kahle
1 - R as Calculator
7:01
07 - 3 - dplyr - Column manipulation
David Kahle
07 - 3 - dplyr - Column manipulation
45:31
2020 Data Scholars Address
David Kahle
2020 Data Scholars Address
12:22
07 - 2 - dplyr - Grouping
David Kahle
07 - 2 - dplyr - Grouping
17:48
07 - 1 - dplyr - Row manipulation
David Kahle
07 - 1 - dplyr - Row manipulation
15:19
07 - 0 - dplyr
David Kahle
07 - 0 - dplyr
2:14
06 - 3 - httr and rvest - HTML and rvest
David Kahle
06 - 3 - httr and rvest - HTML and rvest
23:54
06 - 2 - httr and rvest - HTTP and httr
David Kahle
06 - 2 - httr and rvest - HTTP and httr
28:51
06 - 1 - httr and rvest - Networking and the internet
David Kahle
06 - 1 - httr and rvest - Networking and the internet
30:25
06 - 0 - httr and rvest
David Kahle
06 - 0 - httr and rvest
0:55
05 - readr
David Kahle
05 - readr
36:38
04 - tibble
David Kahle
04 - tibble
12:31
03 - End of stringr
David Kahle
03 - End of stringr
14:21