R语言代写

Task 1 Calculate the mean and standard deviation for PM10 and PM2.5 for both sites: calculate the mean and standard deviation for the entire year first of all, and then for each quarter. Present these values in a simple table. For the air pollution data, how well do the annual parameters summarise the datasets? Do […]

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OS POSIX thread HW1 并行代写

Homework 1 This assignment must be done individually Date Due: Feb 6, 2023 The objectives of this assignment are the following: Acquire familiarity with using POSIX thread management primitives. How to write POSIX thread programs and communicate through shared memory. Read the manual pages for the LINUX primitives for creating shared memory between two LINUX

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ELEC 301 MINI PROJECT 1

Electrical and Computer Engineering — ELEC 301 MINI PROJECT 1 MATHEMATICAL AND COMPUTER TOOLS Objectives — To investigate the accuracy and usefulness of Miller’s theorem and the method of open- circuit and short-circuit time constants and to become familiar with computer based circuit simulation tools. Introduction — In this project, we study the application of

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Operating Systems Assignment 3 Kernel

As you have seen in homework assignment 2, the kernel maintains the state for each process and records that state in the state field of the task_struct of the process. The state indicates whether the process is runnable or running (TASK_RUNNING), sleeping (TASK_INTERRUPTIBLE, TASK_UNINTERRUPTIBLE), stopped (__TASK_STOPPED), dead (TASK_DEAD), etc. When a process is dead, the

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Psychology 2812B HW3 心理学 R语言代写

— title: “Homework 3” subtitle: “Psychology 2812B FW22” — # Lab Component ## 1. LGA mean departure delay Load the `tidyverse` package and the `nycflights` dataset. Note that you will first need to install the nycflights13 dataset: “`{r} #| echo: true #| eval: false install.packages(“nycflights13”) “` “`{r} #| echo: TRUE #| output: FALSE library(tidyverse) library(nycflights13)

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R语言代写

1. Write a short comment about what this R script is about. 2. Remove all existing objects in your “environment”. 3. Create a vector called “HousePrices”, which consists of 100 random numbers generated from a Normal distribution, mean and the standard deviation of which are 300,000 and 50,000 respectively. Hint: use function “norm” to generate

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