Basic analysis in R coding

ALY6000: Executive Summary Report 3
Dataset Instructions
Complete the following instructions to create the dataset and output required for the
Executive Summary Report in Module 3. Use the R in Action textbook and web searches
when needed to write the appropriate R script. The output you create by following these
steps must be incorporated into the Appendix of your report. Be sure to save your R script
file with the following naming convention:
LastName_M3_Project3
Append your completed R-Script to the Executive Summary
Instructions
To complete this assignment you must create an R script file that includes the code
required to complete the following steps:
1. Print your name at the top of the script and load these libraries: FSA, FSAdata, magrittr,
dplyr, tidyr plyr and tidyverse
2. Import the inchBio.csv and name the table
3. Display the head, tail and structure of
4. Create an object, , that counts and lists all the species records
5. Display just the 8 levels (names) of the species
6. Create a object that displays the different species and the number of record of
each species in the dataset. Include this information in your report.-
7. Create a subset, , of just the species variable and display the first five records
8. Create a table, , of the species variable. Display the class of w
9. Convert to a data frame named and display the results
10. Extract and display the frequency values from the data frame
11. Create a table named from the bio species attribute (variable) and confirm that
you created a table which displays the number of species in the dataset
12. Create a table named that displays the species and percentage of records for
each species. Confirm you created a table class.
13. Convert the table, , to a data frame named and confirm that is a data
frame
14. Create a barplot of with the following: titled Fish Count with the following
specifications:
• Title: Fish Count
• Y axis is labeled “COUNTS”
• Color the bars Light Green
• Rotate Y axis to be horizontal
• Set the X axis font magnification to 60% of nominal
15. Create a barplot of , with the following specifications:
• Y axis limits of 0 to 4
• Y axis label color of Light Blue
• Title of “Fish Relative Frequency”
16. Rearrange the cSpec Pct data frame in descending order of relative frequency. Save
the rearranged data frame as the object
17. Rename the columns Var 1 to Species, and Freq to RelFreq
18. Add new variables to and call them cumfreq, counts, and cumcounts
19. Create a parameter variable to store parameter variables
20. Create a barplot, , with the following specifications:
• d$counts of width 1, spacing of .15
• no boarder
• Axes: F
• Yaxis limit 0,3.05*max
• d$counts na.rm is true
• y label is Cummulative Counts
• scale x axis to 70%
• names.arg: d$Species
• Title of the barplot is “Species Pareto”
• las: 2)
21. Add a cumulative counts line to the plot with the following:
• Spec line type is b
• Scale plotting text at 70%
• Data values are solid circles with color cyan4
22. Place a grey box around the pareto plot (hint:
https://www.statmethods.net/advgraphs/parameters.html)
23. Add a left side axis with the following specifications
• Horizontal values at tick marks at cumcounts on side 2
• Tickmark color of grey62
• Color of axis is grey62
• Axis scaled to 80% of normal
(hint: https://www.statmethods.net/advgraphs/axes.html)
24. Add axis details on right side of box with the specifications:
• Spec: Side 4
• Tickmarks at cumcounts with labels from 0 to cumfreq with %,
• Axis color of cyan5 and label color of cyan4
• Axis font scaled to 80% of nominal
25. Display the finished Species Pareto Plot (without the star watermarks). Have your last
name on the plot