When using geom_tile in ggplot2, a heap map can be produced by giving categorical variables to the x and y inputs and a continuous variable to the fill argument of the aes function. Data Science Challenges in R Programming Language (datasciencetut.com) # install.packages("ggplot2") librar...
How to create a rank variable using mutate function of dplyr package in R - A rank variable is created to convert a numerical variable into ordinal variable. This is useful for non-parametric analysis because if the distribution of the numerical variable
Dplyr filter from another dataframe Using a Variable Where Quotes Are Needed in Function Argument EasyMARK and Maker.CH problems Area weighted seasonal cummulative precipitation extraction based on crop yeild area file R does not display output Error in the predict function RStudio bre...
Pro-tip:It’s worth taking the extra time to set upcolumn nameswhich are easily readable. Many R code scripts tend to “grow” over time, as you run additional studies on a dataset, remap value(s) into a categorical variable, or add a new column. You’ll generally spend a lot more ...
The UpSetR package provides a lot convenient helpers around this kind of plot; the main advantage of my package is that it can be combined with any kind of ggplot that uses a categorical x-axis. This additional flexibility can be useful if you want to create non-standard plots. The follow...
Balance partitions on categorical variable(s) and/or a numerical variable. Make sure that all datapoints sharing an ID is in the same partition. # First set seed to ensure reproducibility set.seed(1) # Use partition() with categorical and numerical balancing, # while ensuring all rows per ...
## 11 dplyr.git Bourne Shell 3 0.00656 34 0.000530 15 0.00106 10 ## 12 dplyr.git C 1 0.00219 30 0.000468 7 0.000493 0 ## # ... with 1 more variable: comment_line_pct All in on Addins The Rmd functionality made me realize that some interactive capabilities might be handy, so I th...
The UpSetR package provides a lot convenient helpers around this kind of plot; the main advantage of my package is that it can be combined with any kind of ggplot that uses a categorical x-axis. This additional flexibility can be useful if you want to create non-standard plots. The follow...