data留学生作业代写、代做Python/C++实验作业、代写Java，c++编程作业、graphic留学生作业代做代做数据库SQL|代做R语言编程

1.[19] The air.csv. data consists of 111 observations, taken from an observational environmental study that measured the four variables ozone(surface PPM), solar radiation, temperature(degrees F), wind speed(MPH) and sky condition (C-Cloudy, PC-Partially Cloudy, S-Sunny) for 111 consecutive days in New York. We are modeling ozone as the dependent variable. a)Read this data into a data frame called air.b)Run a function that will provide a summary of all variables in air including sky.c)Attach air so you can work with its components directly for the rest of this question.d)Create a graphic page with 4 figures (2 by 2). Have ozone on the y-axis, and have temperature, radiation, wind and sky on the x-axis respectively. For sky, produce boxplots of ozone with a box for each level of sky, and for the other variables, produce scatter plots with loess smothers overlaid.e)Remove all rows with any missing measurements from air. Use this updated data for the remainder of this assignment. Show any code you used to ensure that the objects you’re working with were updated. f)Run a multiple linear regression with ozone as the outcome and the following predictors: radiation, temperature and wind. Save the results of this regression in an object named reg.results. g)Use a single function to provide a summary of these reg.results. In a comment tell me, how much of the variance in ozone was explained by this regression model (i.e. what is the multiple R2)?h)Since these values were measured on 111 consecutive days, we might expect that each value is correlated with the values from the previous days (auto-correlated). Produce the partial auto correlation function (PACF) for ozone. Is ozone auto-correlated? What is the correlation coefficient between each day and the previous day?i)Ordinary linear regression requires that the residuals are independent form one another. Run the PACF on the residuals from the previous linear regression fit. Is there any substantial evidence that the residuals are auto-correlated? Why or why not?j)Make an ordered factor named ozone.cat that classifies ozone into three equal sized groups. Do this by using functions which will group the observations according to increasing ozone into three groups with roughly one third of the observations in each group. Do this in such a way that the expression would remain valid if the data in ozone changed. Label these three groups as Low, Medium and High respectively.k)Produce a contingency table of sky condition vs. ozone.cat.l)Perform a Chi-Square test on this table.2.(For graduate students only)[8] Make a binary infix operator called %ols% that takes the arguments x and y and returns the ordinary least squares regression coefficients for regressing y on x. In this function x and y may any combination of vectors or matrices. Rather than using a built in R function, use the equation we saw in Question 2d) of the second assignment. This function should add a column of 1s to x so that an intercept is fit. For example xi)Regress ozone on temperature. ii)Try replicating the model in Q1 f) by setting y to ozone and x to a matrix where the first column contains radiation and the next two columns contain wind and temperature, respectively. Do this part in one expression. 3.[8] Some properties of a square matrix. Given a numeric square matrix A, write a function called matprop which will return a list with three components named: trace, symmetric, and idem. For full marks you should be able to write this function in one line. The three components should contain the following values.a)trace -- a vector containing sum of the elements on the diagonal. b)symmetric – A value of TRUE if matrix A is symmetric, that is if it satisfies the following condition: for all rows i and all columns j, or in other words A is equal to its transpose. If a matrix is not symmetric return FALSE.c)idem – Return TRUE if the matrix A is idempotent and FALSE otherwise. A matrix is idempotent if.4.[8] Vectorizing functions.Provide a vectorized solution that replaces the entire expression in these function by a one line expression that does not use loop. You can assume x is a numeric vector and val is a single numeric value.a)val.positions { val.pos for(i in 1:length(x) ) if (x[i]==val) val.pos val.pos }b) monotonic { monotonic.increasing monotonic.decreasing for(i in 2:length(x)) if(x[i]-x[i-1] for(i in 2:length(x)) if(x[i]-x[i-1]>0) monotonic.decreasing monotonic.increasing | monotonic.decreasing }5.[7] Plotting the PDF and CDF of the t-distributionFirst create a vector named t that contains the value -3 and 3 in increments of 0.01.In two figures on one page as shown below, plot the probability density function and cumulative distribution function (Prob(T)本团队核心人员组成主要包括BAT一线工程师，精通德英语！我们主要业务范围是代做编程大作业、课程设计等等。我们的方向领域：window编程 数值算法 AI人工智能 金融统计 计量分析 大数据 网络编程 WEB编程 通讯编程 游戏编程多媒体linux 外挂编程 程序API图像处理 嵌入式/单片机 数据库编程 控制台 进程与线程 网络安全 汇编语言 硬件编程 软件设计 工程标准规等。其中代写编程、代写程序、代写留学生程序作业语言或工具包括但不限于以下范围:C/C++/C#代写Java代写IT代写Python代写辅导编程作业Matlab代写Haskell代写Processing代写Linux环境搭建Rust代写Data Structure Assginment 数据结构代写MIPS代写Machine Learning 作业 代写Oracle/SQL/PostgreSQL/Pig 数据库代写/代做/辅导Web开发、网站开发、网站作业ASP.NET网站开发Finance Insurace Statistics统计、回归、迭代Prolog代写Computer Computational method代做因为专业，所以值得信赖。如有需要，请加QQ：99515681 或邮箱：[email protected] 微信：codehelp

QQ：99515681 或邮箱：[email protected] 微信：codehelp