Using the MATLAB editor, create a script m-file which includes a header block and comments: Create a matrix which holds values of: y = a^x where a is a column array A having the values 1-5 in 0.5 increments x is a row array X having integer values 1-5 Display a message explaining the results which will be displayed. Display the 5th row of the matrix. Save the script and publish function to create a pdf file from the script in a file named "ECE105_Wk2_L2_Prep_2"

Using the MATLAB editor, create a script m-file which includes a header block and comments: Create a matrix which holds values of: y = a^x where a is a column array A having the values 1-5 in 0.5 increments x is a row array X having integer values 1-5 Display a message explaining the results which will be displayed. Display the 5th row of the matrix. Save the script and publish function to create a pdf file from the script in a file named "ECE105_Wk2_L2_Prep_2"

Programming with Microsoft Visual Basic 2017

8th Edition

ISBN:9781337102124

Author:Diane Zak

Publisher:Diane Zak

Chapter8: Arrays

Section: Chapter Questions

Problem 2RQ

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Using the MATLAB editor, create a script m-file which includes a header block and comments: Create a matrix which holds values of: y=a^x where a is a column array A have values in the range 1-5 with 0.5 increments x is a row array X having integer values 1-5 Display the matrix results Save the script and publish function to create a pdf file from the script in a file named "ECE105_Wk2_L1_Prep_2"
R Script Homework 4 Using RStudio, create a new R script and save it as: "CMSC4103 Your Name HW4 R. For student John Doe, the file would be named "CMSC4103_JohnDoe HWAR". Then do the following: 1) Create or read an existing data frame containing a) A character column that acts as a label and has unique values in each row b) 2 or more numeric columns on the same scale (eg prices, counts, test scores, etc.) C 2) Find the mean, standard deviation, and interquartile range of both original numeric variables, allowing for missing values. 3) Create a new variable that is a function of the 2 numeric variables. 4) Create a rank variable for at least 1 numeric variable. 5) Use ggplot2 to: a) Create a "publication ready" plot of 2 or more variables to help explain the data. b) Create a "publication ready" plot that includes at least one rank variable to help explain the data $ C 4 E R F Search or type URL 5 : T 6 Y G H 49 & 7 ★ U 8 1 9 J K 0
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