1. Write a function named computeEnergy that takes in as input the number of panels and computes the amount of energy produced in a typical day. The amount of energy produced by a panel depends on the time of day and can be modeled by the mathematical formula below, where t is an array of values from 1 to 24 hours.f(t)=e−(t−12)21.52π√f(t)=e−(t−12)21.52π 2. After your computeEnergy function calculates how much energy is produced per day, it should call another user-defined function named weatherVariance. The weatherVariance function should create a 24x7 dimension matrix of random numbers between .8 and 1. This represents 24 hours of varying weather conditions that affect the solar production of the panel for seven days. Using matrix multiplication with the appropriate dimensions, (you will need to create another 24x7 matrix containing a week's worth of daily energy production), multiply the energy production by the weather variance matrix element-wise to simulate weather.3. The data for the weekly energy usage by the home is provided (we will use this see if we produce enough energy). In your main function, define a variable to store the number of solar panels. Keep track of the total energy produced by the solar panel(s) in a week, starting with one panel. After the week, if the generated solar energy is less than the energy usage of the home, then increase the number of panels by one, run the computeEnergy function again, compare with the energy used and decide if more panels need to be added. This should be done in a while loop. The usage data is formatted in a 24x7 dimension matrix, corresponding to seven days worth of 24 hours of hourly energy use in kilo-Watt-hours.4. Produce a 4x2 sublot of solar energy produced and used per day for the week. The eighth plot should be the daily difference between energy produced and energy used for the week. Label all plots appropriately. 5. Report to the user how many panels are required to fulfill the energy needs for the home.

Use 3 resources for each discussion. Include at least 2-3 quotes from your sources enclosed in quotation marks and cited in-line by reference to your reference list for each discussion. Example: "words you copied" (citation) These quotes should be one full sentence not altered or paraphrased. Cite your sources using APA format. Use the quotes in your paragraphs. Write in essay format, not in bulleted, numbered, or other list formats.No plagiarism or spinbot, please.Discussion 01: Write at least 500 words discussing limitations and issues related to the use ff and ffbase packages for processing large datasets. Discussion 02: Write at least 500 words explaining logistic regression and how it is used in the chronic kidney disease data set. Discussion 03: Write at least 500 words discussing how the ff and ffbase packages enable users to process large datasets with R. Discussion 04: Write at least 500 words comparing and contrasting multi-threading and parallel processing. Let me know if you have any questions. Thank you!

VMWare is a hypervisor tool that utilizes virtualization technology for simplified deployment models of components. When deploying a VMWare solution, how feasible is it to create and replicate server solutions? Is it equally as easy to deploy desktop solutions in this manner? Identify the minimums and maximums of hardware needed to deploy a certain number of solutions on a physical host. What is the maximum number of hosts that vCenter Server can host on a physical system and what resources are necessary? Be specific in the necessary installation requirements and deployment of both host and guest appliances. How does this compare to cloud environments you have studied thus far?Your essay should be 2-3 pages in length (not including cover and reference pages) and should incorporate support from at least two academic sources