11:36
R programming tutorial: Using summarise() function of dplyr to get summary information
rdatacode
9:43
R programming Section 5. Using R graphic ggplot2. Lecture 16. Scatter plots with ggplot2 in R
7:32
Statistics using R programming - Levene’s Test for Homogeneity of Variance using R
5:02
R programming Section 6. Dplyr in R. Lecture 7. Using slice() function of dplyr to select rows
10:27
Statistics using R programming - Normal Quantile-Quantile Plot with R
4:54
R programming Section 5. Using R graphic ggplot2. Lecture 15. Violin plots with ggplot2 in R
13:47
Statistics using R programming - t-distribution and t-test with R
6:15
R programming Section 5. Using R graphic ggplot2. Lecture 14. Kernel density plots
11:31
R programming Section 6. Dplyr in R. Lecture 6. Using join() function of dplyr to join datasets
9:10
Statistics using R programming - Box Plots with ggplot2 in R
10:38
Statistics using R programming - Calculating The Power of a Test in Hypothesis testing using R
6:52
Statistics using R programming - Calculating Type I Error and Type II Error in Hypothesis testing
11:10
Statistics using R programming - Using Weibull distribution in R . #weibull
11:51
Statistics using R programming - Using Lognormal distribution in R . #lognormal
12:24
Statistics using R programming - Using Beta distribution in R . #beta
R programming Section 6. Dplyr in R. Lecture 5. Using select() function of dplyr to select variables
5:46
R programming Section 5. Using R graphic ggplot2. Lecture 8. Histograms
17:32
Statistics using R programming - Chi-Square Distribution and Chi-Square Test in R . #statistics
4:59
R programming Section 3. Basic data management. Lecture 14. Using attach() and detach() functions
7:01
R programming Section 5. Using R graphic ggplot2. Lecture 8. Bar charts
5:08
R programming Section 5. Using R graphic ggplot2. Lecture 7. Graphs as objects and save graphs
3:49
Statistics using R programming - Shapiro–Wilk Test for Normality in R programming. #statistics
7:15
R programming Section 5. Using R graphic ggplot2. Lecture 6. Formulating themes in ggplot2 in R
13:02
R programming Section 4. Advanced data management. Lecture 11. Reshaping data in R. #rprogramming
6:25
R programming Section 4. Advanced data management. Lecture 10. using sample() Function in R. #rstats
5:56
R programming Section 4. Advanced data management. Lecture 9. Descriptive Statistics with R
9:20
R programming Section 6. Dplyr in R. Lecture 4. Using mutate() function of dplyr in R. #rprogramming
17:18
Statistics using R programming - Using Gamma distribution with R programming. #statistics
6:26
R programming Section 4. Advanced data management. Lecture 8. Aggregating data in R #rprogramming
7:29
R programming for beginners - Creating Your Own Functions in R #rprogramming
8:59
R programming tutorial: Using ggplot2 for dot plots in R
15:49
F distribution and F-Test for hypothesis testing of variances in R
8:37
R programming tutorial: gather() function of dplyr in R to convert multiple columns into one
6:08
R programming tutorial: spread() of Dplyr to spread data across multiple columns in R
5:39
R programming tutorial: Stem and leaf plot in R
6:22
R programming tutorial: Tree map with ggplot2 in R
5:33
R programming tutorial: Lollipop Plot with ggplot2 in R
R programming tutorial: separate() of Dplyr in R to Divide a Single Column into Multiple Columns
5:37
R programming tutorial: Creating a Diverging Bar Chart with ggplot2 in R
6:34
R programming tutorial: Using n(),Nth,n_distinct() of Dplyr in R for counting
3:40
R programming tutorial: Use na_if() and coalesce() of Dplyr to Deal with NA Values in R
5:24
Statistics using R programming - Test of Outliers in Regression with R
6:16
Statistics using R programming - Test of High-leverage Points in Linear Regression using R
6:24
R programming Section 5. Using R graphic ggplot2. Lecture 5. Formulating labels in ggplot2 in R
6:10
R programming Section 5. Using R graphic ggplot2. Lecture 4. Using facets in ggplot2 . #rprogramming
10:39
Statistics using R programming - Using Normal distribution with R programming . #statistics
5:12
R programming Section 4. Advanced data management. Lecture 4. Character and string functions in R.
5:26
R programming - Using scaling in ggplot2 #rprogramming
12:36
R programming - Generating Vector and Matrix of Random Numbers in R #rprogramming
6:48
R programming - Probability functions in R #rprogramming
18:56
R programming - Filter function of dplyr in R #rprogramming
4:38
R programming for beginners - Using grouping in R graphic ggplot2 #rprogramming
5:44
R programming - Start building graphs with ggplot2 in R. #rprogramming
4:02
R programming - Mathematical functions in R #rprogramming
10:08
Statistics using R programming - Geometric distribution with R programming #statistics
11:58
R programming for beginners - with() and within() function in R. #rprogramming
4:29
R programming for beginners - Using transform() to modify data in R #rprogramming
8:42
Statistics using R programming - Negative binomial distribution with R programming #statistics
11:19
R programming for beginners - Subsetting data frames in R #rprogramming
7:35
R programming for beginners - Merging data frames in R #rprogramming
R programming for beginners - Sorting data frames in R #rprogramming
6:44
R programming for data analysis - Object type conversion
6:11
R programming for beginners - R data frame - Handling date values.
5:35
R programming for beginners - Handling missing values #rprogramming
10:16
R programming - Create, Index and Modify lists in R programming #rprogramming
3:37
R programming - Rename Columns of a Data Frame #rprogramming
10:53
R programming - Create, Index and Modify Data R programming #rprogramming
13:31
R programming for beginners - Lecture 10.Some useful functions for objects in R programming
R programming - Using with() in R programming #rprogramming
4:26
Reading Excel files in R programming #rprogramming
11:08
Recoding variables in R programming #rprogramming
7:12
R programming - Create Variables of Data Frames in R #rprogramming
7:42
R programming for data analysis - read CSV files to create data frames #rprogramming
6:05
R programming for data analysis | Lecture 6 | Factor variable #rprogramming
8:19
R programming data structure - List - Lecture 5 #rprogramming
6:49
R programming - Lecture 4 - R data structure Data Frame #rprogramming
R programming - data structure Array #rprogramming
8:53
R programming - data structure Matrix #rprogramming
R programming - R data structure vector #rprogramming
9:44
R programming for data analysis - Package management #rprogramming
9:17
R programming - Getting started using R program #rprogramming
3:28
R programming - Installation of R and RStudio #rprogramming
3:19
R programming for data analysis - tutorials for beginners #rprogramming
8:39
R programming tutorial: R and Python differences
3:50
R Basic programming online training course from rdatacode
