In the exercises below we cover how we can Manipulate Biological Data using Seqinr packages Install Packages seqinr Answers to the exercises are available here. If you obtained a different (correct) answer than those listed on the solutions page, please feel free to post your answer as a comment on that page. Exercise 1 Read […]

# Exercises (intermediate)

## Forecasting: ARIMAX Model Exercises (Part-5)

The standard ARIMA (autoregressive integrated moving average) model allows to make forecasts based only on the past values of the forecast variable. The model assumes that future values of a variable linearly depend on its past values, as well as on the values of past (stochastic) shocks. The ARIMAX model is an extended version of […]

## Forecasting: Multivariate Regression Exercises (Part-4)

In the previous exercises of this series, forecasts were based only on an analysis of the forecast variable. Another approach to forecasting is to use external variables, which serve as predictors. This set of exercises focuses on forecasting with the standard multivariate linear regression. Running regressions may appear straightforward but this method of forecasting is […]

## Data science for Doctors: Variable importance Exercises

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 […]

## Data Science for Operational Excellence (Part-4)

Suppose your friend is a restaurant chain owner (only 3 units) facing some competitors challenges related to low price, lets call it a price war. Inside his business he knows that there’s no much cost to be cut. But, he thinks that, maybe if he tries harder to find better supplier with low freight and […]

## Data Science for Operational Excellence (Part-3)

Optimized transportation planning is a task usually left to the firm’s logistic department. However, it is often difficult to visualize, specially if there are many points involved in the logistic network. R and its packages can help solving this issue. Our goal here is to expand logistics networking visualization. In order to do that, we […]

## Experimental Design Exercises

In this set of exercises we shall follow the practice of conducting an experimental study. Researcher wants to see if there is any influence of working-out on body mass. Three groups of subjects with similar food and sport habits were included in the experiment. Each group was subjected to a different set of exercises. Body […]

## Data science for Doctors: Cluster Analysis Exercises

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 […]

## User Defined Functions in R Exercises (Part 1)

In the Exercises we will discuss User Defined Function in R Answers to the exercises are available here. Exercise 1 Create a function to print square of number Exercise 2 Create a function to print a number raise to another with the one argument a default argument Exercise 3 Create a function to print class […]

## Forecasting: Exponential Smoothing Exercises (Part-3)

Exponential smoothing is a method of finding patterns in time series, which can be used to make forecasts. In its simple form, exponential smoothing is a weighted moving average: each smoothed value is a weighted average of all past time series values (with weights decreasing exponentially from the most recent to the oldest values). In […]