Self-documenting plots in ggplot2 How to write the first for loop in R How to Calculate a Cumulative Average in R Sponsors Recent Posts Markov Chain Introduction in R Monte Carlo Analysis in R Stock Market Predictions Next Week Capture errors, warnings and messages {golem} 0.3.2 is no...
R:R is a statistical language often used by Data Scientists because it excels at statistical computing and graphics. It also provides an extendable environment featuring many packages like ggplot2 or dplyr, which facilitate manipulation and visualization of datasets. SQL:SQL (Structured Query Language...
R is an interpreted language, which means that the code is executed line by line by an interpreter. It operates through a command-line interface (CLI) or integrated development environments (IDEs) like RStudio. R has a diverse set of built-in functions, and its real power comes from the ...
R is thought to be the least disliked programming language. Despite all its advantages, R is far from perfect, like any other language. Before plunging into learning R, it will be useful to keep the shortcomings in mind. Steep Learning Curve: R is not an easy language to get started with...
Rishighly extensibleand it has thousands of well-documented extensions (named R packages) for a very broad range of applications in the financial sector, health care,… It’seasy to create R packagesfor solving particular problems Related articles ...
the name of the palette you wanted to use. Unfortunately, {ggplot2} usesnameto define the name of the legend. This meant there was an inconsistency between {PrettyCols} and other {ggplot2} scale functions, and I wanted to fix that in this release. Now, the behaviour is more consistent....
Ggplot not showing all dates on x asis even when forced Error in ANOVA contrast commands Plot large data in R gvisMotionChart From googleVis is not working any suggestion? Problem with applying function to a dataframe Data frame error - "replacement has 4 rows, data has..." How...
A robust suite of packages in R enables tasks ranging from sample size calculations and randomization in clinical trials to adaptive design and advanced statistical modeling. Its data visualization tools, such as ggplot2, enhance the interpretation and communication of findings. Moreover, R's role ...
ggplot2: A popular R package for creating elegant and customizable data visualizations based on the Grammar of Graphics. 3.Jupyter Notebook: Anopen-source webtool for creating and sharing documents with live code, equations, visualizations, and narrative text. It is compatible with a number ofpro...
In stacked bar graphs, bars are shown side-by-side and thus easier to compare across groups. Fun fact: the scripts underlying stacked bars are much simpler than those underlying the pie charts and donut charts. If you want to produce sub-optimal graph types with ggplot, you actually have ...