CSC 152: The Week beginning Oct. 15

Homework:

None. Study for the test next Monday, Oct. 22
Monday:

Fall break.
Wednesday:

About the upcoming test
The material will focus on the new material starting from Sept. 24. (The words "focus on" mean you CANNOT forget your Excel basics just because they have already been tested.) Some of the new material includes:
Excel:
- Random numbers
- Frequency formula
- Making one's own histogram versus using the built-in one
R:
- comments
- variables
- vectors
- statistical functions of vector data
- XY Scatter
- linear models (fitting)
- Other plots (histogram, boxplot, barplot, pie)
- Again knowing when to make one's own histogram versus using the built-in one
- Make a csv file from an Excel file
- Read data into R from csv file
- Export images from R
Today's assignment

1. Mathematica Introduction

2. Mathematica Binomial Coefficients

3. Punnett Square Like Expansion in Mathematica

Due: Oct. 24
Friday:

Some R practice. I strongly recommend working from examples. The more quickly you can find the example that is like what I am asking for, the better off you will be on Monday's test.

1. Sea Temp in R
Take the data from SeaTemp.xls, save the data as a csv file. (Get rid of the questions but keep the headers for the data.) Read the csv data into R. Use names to rename the fields -- eliminating any spaces or other weird features. Use R to make a plot of anomaly versus year. Give your plot a title, x- and y-axis labels. Make a linear model for anomaly versus year. Add that line to the plot (either abline or curve). Extract the slope and y-intercept from the linear model and use them to display the fit equation on the plot.

2. Firefly Spermatophore Mass
Take the data from FireflySpermatophoreMass.csv. Read the csv data into R. Use names to rename the fields -- eliminating any spaces or other weird features. Use individual R functions to find the mean, standard deviation, median, first and third quartiles, the minimum and the maximum. Make a histogram and box-and-whiskers plot of the data. Use R code to save those images -- one to a pdf format and the other to a png format.

3. Random Product R Script
Make your own version of the R script below. But in your version, you should add a comment before each line of code explaining what it is going to do.

Due: Oct. 26