Let’s see how to format your model outputs with parameters package in R by Lüdecke et al. (2020). Fit a simple linear regression model #install.packages("parameters") library(parameters) library(magrittr) library(gt) library(see) model <- lm(Volume ~ Height + Girth, data=trees) Reporting model parameter estimates model %>% model_parameters() Parameter | Coefficient | SE | 95% CI | t(28) | p -------------------------------------------------------------------- (Intercept) | -57.99 | 8.64 | [-75.68, -40.29] | -6.71 | < .
Maintaining a calendar to organize your events allows for having more smooth and productive day. In this post, I will show you some basic functionalities in CalendaR package.
Aspect ratio: what it is and why it is. How often do you fix aspect ratio?
Highlight selected points in the scatterplot
Read data files
How to view datasets in a particular package, or or list the available data sets?
Checks whether your package name is taken or available !!
install.packages("available")
library(available)
available("seer")
Warning: unable to access index for repository http://www.stats.ox.ac.uk/pub/RWin/src/contrib:
cannot open URL 'http://www.stats.ox.ac.uk/pub/RWin/src/contrib/PACKAGES'
── seer ────────────────────────────────────────────────────────────────────────
Name valid: ✔
Available on CRAN: ✖
Available on Bioconductor: ✖
Available on GitHub: ✖
Abbreviations: http://www.abbreviations.com/seer
Wikipedia: https://en.wikipedia.org/wiki/seer
Wiktionary: https://en.wiktionary.org/wiki/seer
Sentiment:???
The most common problem while learning Statistics is that students’ lack of understanding of the basic terminologies, notations, definitions and concepts. Think of Statistics as building blocks, and you need a solid foundation to move forward. Here, I explain five common terms in Statistics: i) Parameter, ii) Statistic, iii) Random Variable, iv) Estimator, v) Estimate and their notations. I will start with the definition of Population and Sample. A population is a complete collection of individuals/ objects that we are interested in.
Nature is my biggest inspiration for my love and passion for mathematics.
Dashboard to monitor COVID-19 situation in Sri Lanka. This dashboard is built with R using the R Makrdown framework and was adapted from “coronavirus_dashboard” by Rami Krispin.