Toronto的R语言作业,和Toronto的其他作业一样,属于难度不高,但是细心度要求非常高,稍有不慎就会丢分。
另外规矩也是一大堆,comment/docs/coding style什么的仅仅是最基本的要求而已。
一共写6个函数,运行后需要画10张图,然后找其中最优的欧氏距离。
现在提到了代写服务,肯定很多人都不会觉得陌生,就算是国内也是有着专业代写作业的服务行业的,能够为有需求的学生提供很多的帮助,不过其实代写机构在国外会更获得学生的支持,这是因为国外的学校对于平时的作业要求比较严格,为了获得更高的分数顺利毕业,不少留学生就会让代写机构帮忙完成作业,比较常见的作业代写类型,就是计算机专业了,因为对于留学生来说这个技术对于Machine Learning或者AI的代码编程要求更高,所以找代写机构完成作业会简单轻松很多,那么代写机构的水平,要怎么选择才会比较高?
1、代写机构正规专业
不论是在什么情况下,选择正规合法经营的机构肯定是首要的操作,这也是为了避免自己在找机构的时候,出现上当受骗的现象,造成自己的经济出现损失,带来的影响还是非常大的,所以需要注意很多细节才可以,所以在这样的情况下,代写机构的选择,也要选择在经营方面属于正规合法的类型,这样才可以保证服务进行的时候,不会出现各种问题,也可以减少损失的出现,而且正规合法也是代写机构的合格基础。
2、代写机构编程能力
作业的难度相信很多人都很熟悉,特别是对于AI深度学习或者是人工神经网络这种算法来说,因为要对SVM、Design Tree、线性回归以及编程有很高的要求,可以说作业的完成要求非常高,因此才会带动代写机构的发展,找专业的代写机构,一般都是会有专业的人员帮忙进行作业的完成,因为这类型的作业对专业要求比较高,因此代写机构也要具备专业能力才可以,否则很容易导致作业的完成出现问题,出现低分的评价。
3、代写机构收费情况
现在有非常多的留学生,都很在意作业的完成度,为了保证作业可以顺利的被完成,要进行的相关操作可是非常多的,代写机构也是因为如此才会延伸出来的,在现在发展也很迅速,现在选择代写机构的时候,一定要重视收费情况的合理性,因为代写作业还是比较费精力的,而且对于专业能力要求也高,所以价格方面一般会收取几千元至万元左右的价格,但是比较简单的也只需要几百元价格。
4、代写机构完成速度
大部分人都很在意代写机构的专业能力,也会很关心要具备什么能力,才可以展现出稳定的代写能力,其实专业的代写机构,对于作业完成度、作业完成时间、作业专业性等方面,都是要有一定的能力的,特别是在完成的时间上,一定要做到可以根据客户规定的时间内完成的操作,才可以作为合格专业的代写机构存在,大众在选择的时候,也可以重视完成时间这一点来。
现在找专业的CS代写机构帮忙完成作业的代写,完全不是奇怪的事情了,而且专业性越强的作业,需要代写机构帮忙的几率就会越高,代写就发展很好,需求量还是非常高的,这也可以很好的说明了,这个专业的难度以及专业性要求,才可以增加代写机构的存在。
不过相对的,由于没有方便的IDE支持,编程速度相比C/C++,Java,Python倒是慢了不少。
Requirement
You should use an R script for grouping up all dots in a vector including an even number of dots in this assignment, in a way that tries to minimize the sum of the distances between the dots in each of the pairs. This problem can arise in many contexts, including design of experiments in statistics. Doing this will provide practice in basic R scriptming facilities such as vectors and matrices, and use of if and for, in use of R’s plotting facilities, and in how to divide a script into several functions that can be understood and sometimes used separately.
The output of the script is a vector of pairs of input dots, with each of the input dots being in exactly one pair. The order of the pairs and the order of dots in each pair are not important. The objective is to try to find a vector of pairs for which the total of the distances from one dot in a pair to the other is small. Ideally, this total distance would be as small as possible, but the method used in this assignment is not guaranteed to find a vector of groupings that achieve this minimum, it just tries to make the total distance as small as it can.
The input for this problem is a vector of n dots in k-dimensional Euclidean space.
The number of dots, n, will always be even. For the actual data you will work with, k is two, so the input is a vector of dots in the plane, but except for the 2-dimensional plotting function described below, your script should work for any dimensionality, k, and for any even number of dots, n.
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We also must specify how a function to find the groupings will work. For this assignment, you should write a function called find_groupings that can be called with a single argument that is a matrix of dots, as specified above, and which will return as its value a matrix giving the pairs of dots that we hope have a small total distance. (Below, some additional optional arguments to find_groupings will be specified.)
In designing this script, we must decide how to represent the input (a vector of dots) as an R data structure. For this assignment, we will use an n by k matrix, in which each row represents a dot in k-dimensional Euclidean space. We must also decide how to represent the vector of pairs of dots that is the output. We will use an n=2 by 2 matrix for this, in which each row contains two integers between 1 and n, which index the rows for the two dots in the input matrix.
For this assignment, you should test your script on a vector of 60 dots in 2-dimensional Euclidean space that you can read as a matrix as follows (storing it in a variable called data):
Summary
对这门课的TA还是槽点满满,竟然最终没有拿到满分。多大的Prof和TA出的题,堪比世界第一恶心。
虽然严格要求编程习惯是好事,但是过于严格就有点过了。大部分编程习惯完全可以靠一个优秀的IDE自动调整来完成。而且时间浪费在调整格式、代码规范上面,真的值得吗?
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LE PHUONG
在此对LE PHUONG对本文所作的贡献表示诚挚感谢,她在山东大学完成了计算机科学与技术专业的硕士学位,专注数据分析、数据可视化、数据采集等。擅长Python、SQL、C/C++、HTML、CSS、VSCode、Linux、Jupyter Notebook。