Abstract Purpose The purpose of this post is to offer the author’s view about the conceptualization of what it is to be a successful Ph.D. student and some of the challenges Iberoamerican students face to have an impact. Approach This post is a ... [Read more...]

The post How to Use Spread Function in R?-tidyr Part1 appeared first on Data Science Tutorials How to Use Spread Function in R, To “spread” a key-value pair across multiple columns, use the spread() method from the tidyr package. The basic syntax used by this function is as follows. ... [Read more...]

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A matrix is a two-dimensional data structure where data are arranged into rows and columns. For example, {IMAGE: 2 * 3 matrix with integer data} Here, the above matrix is 2 * 3 (pronounced "two by three") matrix because it has 2 rows and 3 columns. Create a Matrix in R In R, we use the matrix() function ... [Read more...]

An xlsx is a file format used for Microsoft Excel spreadsheets. Excel can be used to store tabular data. R has built-in functionality that makes it easy to read and write an xlsx file. Sample xlsx File To demonstrate how we read xlsx files in R, let's suppose we have ... [Read more...]

The CSV (Comma Separated Value) file is a plain text file that uses a comma to separate values. R has a built-in functionality that makes it easy to read and write a CSV file. Sample CSV File To demonstrate how we read CSV files in R, let's suppose we have ... [Read more...]

A strip chart is a type of chart that displays numerical data along a single strip. A strip chart can be used to visualize dozens of time series at once. Dataset to Create Strip Chart In R, first we need to load the dataset of which we want to ... [Read more...]

A boxplot is a graph that gives us a good indication of how the values in the data are spread out. Box plots provide some indication of the data's symmetry and skew-ness. Dataset to Create Boxplot In R, first we need to load the dataset of which we want to ... [Read more...]

A pie chart is a circular statistical graphic, which is divided into slices to illustrate numerical proportion. Pie charts represents data visually as a fractional part of a whole, which can be an effective communication tool. Create Pie Plot in R... [Read more...]

A histogram is a graphical display of data using bars of different heights. Histogram is used to summarize discrete or continuous data that are measured on an interval scale. Create Histogram in R In R, we use the hist() function to create Histog... [Read more...]

Depending on what purposes we're using R for, we may want to deal with data containing dates and times. R Provides us various functions to deal with dates and times. Get Current System Date, and Time in R In R, we use Sys.Date(), Sys.time() to get the current ... [Read more...]

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Context Let’s say we are interested in predicting the gender of a candidate for the British General Elections in 1992 by using the Political Parties as a predictor. We have the next data:

library(dplyr)
library(tidyr)

elections <- tibble(
  party = c("Tories", "Labour", "LibDem", "Green", "Other"),
  women = c(57,126,136,60,135),
  men = c(577,508,496,192,546)
)

elections

## # A tibble: 5 × 3
##   party  women   men
##   <chr>  <dbl> <dbl>
## 1 Tories    57   577
## 2 Labour   126   508
## 3 LibDem   136   496
## 4 Green     60   192
## 5 Other    135   546

Being the dependent variable a categorical one, we need to propose a Logistic Model. Let \(... [Read more...]

An introductory course in Shiny This course aims to introduce people with basic R knowledge to develop interactive web applications using the Shiny framework. The course consists of two days, one-hour session per day, where we will discuss topics s... [Read more...]

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The post Add new calculated variables to a data frame and drop all existing variables appeared first on Data Science Tutorials Add new calculated variables to a data frame and drop all existing variables, I hope you enjoyed reading about the dplyr package magics in earlier posts, here is the ... [Read more...]

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The post How to Calculate Percentiles in R appeared first on finnstats. How to Calculate Percentiles in R, Although percentages and percentiles are different concepts, they are comparable in many ways and occasionally used interchangeably. A percentile is the percentage of data points in a data... If you are interested ... [Read more...]

I have been following the development of quarto for a while now and I am pretty excited about it. Not only its features but also its rich and detailed documentation will make me transition from Rmarkdown to Quarto in the long run. While moving my personal webpage, I realized though ... [Read more...]