Data science enhances people’s decision making. Doctors and researchers are making critical decisions every day. Therefore, it is absolutely necessary for those people to have some basic knowledge of data science. This series aims to help people that are around medical field to enhance their data science skills. We will work with a health related […]

# Exercises

## One way MANOVA exercises

In ANOVA our interest lies in knowing if one continuous dependent variable is affected by one or more categorical independent variables. MANOVA is an extension of ANOVA where we are now able to understand how several dependent variables are affected by independent variables. For example consider an investigation where a medical investigator has developed 3 […]

## Data Structures Exercises

There are 5 important basic data structures in R: vector, matrix, array, list and dataframe. They can be 1-dimensional (vector and list), 2-dimensional (matrix and data frame) or multidimensional (array). They also differ according to homogeneity of elements they can contain: while all elements contained in vector, matrix and array must be of the same […]

## Unit testing in R using testthat library Exercises

testthat is a testing framework developed by Hadley Wickham, which makes unit testing easy for developers. Test scripts developed can be re-run after debugging or making changes to the functions without the hassle of developing the code for testing again. testthat has a heirarchical structure made up of expectations, tests and contexts. Visit this link […]

## Multiple Regression (Part 3) Diagnostics

In the exercises below we cover some more material on multiple regression diagnostics in R. This includes added variable (partial-regression) plots, component+residual (partial-residual) plots, CERES plots, VIF values, tests for heteroscedasticity (nonconstant variance), tests for Normality, and a test for autocorrelation of residuals. These are perhaps not as common as what we have seen in […]

## Spatial analysis with ggmap Exercises (part-1)

R has many powerful libraries to handle spatial data, and the things that R can do with maps can only grow. This exercise tries to demonstrate a few basic functionalities of the ggmap package in R while dealing with raster images. The ggmap package can be used to access maps from the Google Maps API […]

## Data Science for Doctors – Part 4 : Inferential Statistics (1/5)

Data science enhances people’s decision making. Doctors and researchers are making critical decisions every day. Therefore, it is absolutely necessary for those people to have some basic knowledge of data science. This series aims to help people that are around medical field to enhance their data science skills. We will work with a health related […]

## Building Shiny App exercises part 7

Connect widgets & plots In the seventh part of our journey we are ready to connect more of the widgets we created before with our k-means plot in order to totally control its output. Of cousre we will also reform the plot itself properly in order to make it a real k-means plot. Read the […]

## Data Hacking with RDSTK 3

RDSTK is a very versatile package. It includes functions to help you convert IP address to geo locations and derive statistics from them. It also allows you to input a body of text and convert it into sentiments. This is a continuation from the last exercise RDSTK 2 We are going to use the function […]

## Data Science for Doctors – Part 3 : Distributions

Data science enhances people’s decision making. Doctors and researchers are making critical decisions every day. Therefore, it is absolutely necessary for those people to have some basic knowledge of data science. This series aims to help people that are around medical field to enhance their data science skills. This is the third part of the […]