GitHub repository

Here is my GitHub repository for my R-2021 class:
https://github.com/Ant-nguyen/Intro_r_2021

Here I will upload projects and assignments I'm working on.

Excited to learn R!

-Ant

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R Final project package: Introducing muMotif

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Welcome! Greetings and welcome to the write up of muMotif package. Github link to muMotif:  https://github.com/Ant-nguyen/RmuMotif This was a final project for our R programming course, the goal of this package is to provide some tools that can help one look up motifs in DNA sequences. Motifs can be thought as patterns or hidden messages that standout in DNA. Motifs can be useful for narrowing down on regions of interest in large DNA sequences.  Much of the logic and principles of motif search were inspired by:  https://www.bioinformaticsalgorithms.org/ Throughout this blog I hope to explain the concepts and though processes behind the package, if you find some of these concepts interesting or if my explanation is lacking I highly recommend the link above. Let us begin! Quick Tour: MuMotif is a package of functions that help allow one to find motifs in strings of DNA. The package is also set up to allow for quick visualization of some of the results. There are two broad s...
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Module 8 : I/O, string manipulation and plyr package

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This week we will be exploring the Input and Out capabilities of R, as well as the usefulness of the tools of the plyr package. For this assignment we are given three different tasks: 1. We must import a text file with that contain a data set of Name, Age, Sex and Grade of 20 students and then using plyr package organize the data based on sex, and include a new column with the grade average of their sex.  2. We need to take our data and output our data into a CSV(Comma Separated Value) format. 3. We will take the original data set and extract the data for only students that have the character "i" in their name. And then output a the results to a file in the CSV format. Github link:  https://github.com/Ant-nguyen/Intro_r_2021/blob/main/Module%208.R Let us begin! First we need to input the text file into R. To do this I used the read.table() function. This is a specific function for files that are already in a table like format. I used the arguments header = TRUE and sep =...
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Module 9 : Visualization

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This week we will be exploring some of the different visualization options available in R. We will mainly be comparing the built in R plot, lattice package and ggplot2 package. We will discuss the difference syntax and abilities of each method.  Our assignment was to find a dataset from the following link :  https://vincentarelbundock.github.io/Rdatasets/datasets.html   and using the three different visualization methods listed above create some visualization with the data.  GitHub link:  https://github.com/Ant-nguyen/Intro_r_2021/blob/main/Module%209.R Let us begin! The dataset I decided to use was the  Wong   dataset.  https://vincentarelbundock.github.io/Rdatasets/doc/carData/Wong.html This dataset looks at IQ of patients after being in a coma.  I downloaded the csv file into the directory that is the same as where R is installed and ran the following line of code to input the data into R: > wong<- read.table("Wong.CSV",header =...
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