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  • R Programming Assignment Help, Homework Solution

    R Programming is a computer language and environment supported by the R foundation for statistical computing. It is widely used by staticians and data miners for statistical computing and developing graphics. According to our research, we have come to realize that these two areas of study are connected by Algorithm classification. Its’ concepts are crucial, especially if a researcher is trying to deduce where new observations belonging to a new dataset containing observations with known category membership

    The R Programming language supports the following techniques in statistics;

    • Linear and Non-linear modelling
    • Classical statistical tests
    • Time series analysis
    • Classification
    • Clustering
    • ANOVA and linear programming

    It is efficient because it is highly extensible and it provides an open source route to participation in statistical methodology. R programming is highly compatible, it can run on a variety of platforms such us; UNIX, Linux, FreeBSD, Windows and MacOS.

    Most students and researchers use the R language in their calculations and manipulation of data because it has an integrated suite of software facilities. These facilities include;

    • Graphical facilities which are used for data analysis
    • An integrated collection of intermediate tools
    • A suite of operators for calculations
    • The R programming software can handle and store data effectively

    The R language has been criticized that it provides too many choices and not enough guidance; users must therefore share their work with others.

    We provide the best solutions to assignments on R programming. We have hired the best tutors who are highly qualified and experienced to help students understand the concepts involved in R programming. They are well versed with all the topics related to the language such as

    • Mapping
    • Logistic regression
    • Data mining
    • Bootstrapping
    • Bayesian probability

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    Whether you have been stuck with build a t-table question or other topics under R we are on your side. Approach us at any time of the day. We are available round the clock and students can get in touch with us via email and live chat. We are motivated with the positive testimonials we receive from the students whom we have helped with their R programming assignments. We have cut a niche in this field as the best R Programming assignment help service provider because;

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    R Programming Homework Help 

    The R programming language is so vital in many topics of statistics such as probability, regression analysis and hypothesis testing. Central limit theorem simulation and hypothesis testing. These topics are highly examinable and applicable to the contemporary world. Students are required to have in depth knowledge in the use and application of this software. Most of the time, students are forced to seek the help of the experts because;

    • They don’t have access to the R programming tool that is needed for their assignment.
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    • They do not understand the formulas and concepts used in R programming

    According, to our survey, we have realized that 89% of ‘do my R homework’ requests are either on cluster analysis and covariation relationships. We know that many statistics scholars have a misconception that these topics are hectic for them to do on their own. However… Our R Programming homework help platform saves the student from all these stress. We have a team of professionals who have spent years helping students struggling with their assignments. They have experience in the use and application of statistical software. They will handle all your assignments with ease and provide you with precise and accurate answers.

    We know how important assignments are to the students’ final grade. Without good grades, the student may not pass the course. We are dedicated to ensuring that our students do not fail in their assignments. Some of our tutors are lecturers, they know the factors your instructor will be looking out for, in your assignment to award you those high grades.

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    ANOVA Homework Help in R Programming

    Analysis of variance is a statistical tool used to perform hypothesis tests on mean differences. In regression study, Analysis of Variance is used to determine the results that independent variable have on dependent variable. It is applied when data needs to be experimental in which the sample sizes have to be the same. You might be wondering why we use ANOVA table in econometrics analysis. Well, ANOVA is a unique statistical methodology. It’s used in econometrics analysis to show whether two or more groups are different from each other, assuming the population is normally distributed. Developed by Ronald Fisher in 1918, ANOVA is an extension of the t and z tests. The z and t test had a problem of only allowing nominal level variables to have two groups.

    Researchers can use ANOVA in the following three ways depending on the research design;

    • One-way ANOVA- this type of ANOVA has only one independent variable
    • Two-way ANOVA- it is an expansion of the one way ANOVA. It has two independent variables. It is used to measure the relationship between the two variables which indicate that differences are not uniform across all categories.
    • N-way ANOVA- this method allows the user to use more than two independent variables. The n denotes the number of independent variables.

    The following assumptions must be considered when using ANOVA;

    • Homogeneity of variance – This means that the variance among the groups should be equal
    • The dependent variable should have an interval or ration measurement
    • The independent variables must be categorical, nominal or ordinal.
    • ANOVA assumes that data is normally distributed.
    • Observations are also assumed to be independent

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    • ANCOVA
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    Chi Square Homework Help in R Programming

    Chi square is a statistical tool that compares expectations of an experiment against the results obtained. It requires the researcher to use random, raw and mutually exclusive data obtained from independent variables and a large enough sample. Chi square applies the Sum of Squares technique to determine how well a data series can be fit to a function. The sum of squares is used in regression analysis to showcase the dispersion of data points. Data EDA Temporary file creation is a universal application under chi-square.Here the researcher is obligated to use EDA techniques to learn more about the involved variables against the results.

    Chi square is a form of hypothesis testing. The Degrees of freedom which is the values that have the freedom to vary in a study is vital when a validity of a null hypothesis needs to be understood in a Chi square.

    Chi square performs two different kinds of tests, namely;

    • The test of independence
    • Goodness of fit test

    The least of squares method is vital in Chi square in finding the line of best fit in a dataset. This method aims at creating a straight line that minimizes the sum of the squares of the errors generated.

    Are you struggling with your Chi Square assignment? Do you want to learn more about Chi square and how it is applied in R Programming? We have a solution for all these questions. Our Chi square assignment help platform is a leader in providing detailed and quality solutions to all your assignments queries. We have established ourselves in the past years as the best homework help service team. Our team is made up of professionals who are holders of master degrees and PhD in statistics. They have amassed knowledge in the statistics course over the years of tutoring and writing assignments for students.

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    Hypothesis Testing Assignment Help in R Programming

    Hypothesis testing is a statistical method used in testing assumptions regarding a parameter. The application of the different type of test greatly depends on the type of analysis and the nature of the data used. A hypothesis test is usually carried out with the aim of accepting or rejecting the null hypothesis. There are four steps involved when carrying out a hypothesis test;

    • Stating the two hypothesis in which one can be right.
    • Formulation of an analysis plan which shows how the data will be evaluated
    • Carrying out the plan and physically analysing the sample data.
    • Analysis of the results and either accepting or rejecting the null hypothesis

    A Null hypothesis presumes that no statistical significance exists in a set of given observations between variables. It is always considered to be true until statistical evidence nullifies it for an alternative hypothesis. A null hypothesis may be rejected by the researcher although it is true, this leads to a type 1 error. Hypothesis testing is a common area of evaluation under R. Examinable topics under hypothesis testing are GARCH forecasting model, forecasting instruction sheet, forecasting principles, and practices and forecasting right-hand side variables. These topics are involving as you are supposed to use hypothesis testing as a tool to make predictions.

    Our online hypothesis testing assignment help service covers all the topics related to hypothesis testing such as;

    • Z-test
    • Type 1 error
    • Type 11 error
    • One tailed test
    • P value
    • Two tailed test
    • Discounting mechanism

    We have hired a team of professionals who are available round the clock to assist the students with their assignments. Our experts are highly qualified and experienced in the field of statistics. They are holders of master degrees and PhD and are passionate about helping student from all backgrounds with their assignments. They will help you with your case studies, dissertations, research studies and homework. All the student has to do is to submit their assignment and the guidelines to our website.

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    Probability & Statistics Homework Help in R Programming

    Probability is the chance of something that happens. It helps researchers and users to make logical and consistent decisions. Probability is highly applicable in the real business world. Areas such as business intelligence and BPM, analysis of loan dataset are the most common applications under probability. Probability is used in these areas to make predictions on business change in terms of profit and clients’ connection. Probability is used in many disciplines to forecast what to expect. For example, in business where risks are involved, managers use probability tools and concepts to manage expectations. There are five main types of probabilities;

    Empirical probabilities- This method uses historical data to make forecasts. It assumes that the past happenings can guarantee future results

    Subjective probabilities- This type of probability depend on good judgement and experience to make forecasts. It is unique and greatly depends on the talent of the person making it.

    Priori probabilities- this type of probability depends on deduced reasoning about a particular case.

    Unconditional probabilities- this type of probability answers the question of the probability of one event occurring

    Conditional probability- it answers the question of the probability of an event occurring given that another event had already taken place.

    Our probability and statistics homework help platform covers all the topics related to statistics and probability such as:

    • Probability concepts in the measure of theoretic setting
    • Binomial and Poisson distribution
    • Operator methods in probability
    • Metric spaces
    • Notions of limits and convergence
    • Techniques of proof
    • Real and complex numbers

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    Sampling Homework Help in R Programming

    Sampling is a method used to make a general judgement on a huge population by collecting data from representatives of the population. It is one of the many topics in statistics that require a student to be knowledgeable in methods of collecting, analysis, interpreting and presentation of data. The methods employed by a researcher when conducting a sampling experiment depends on the type of research. Inferential statistics computation is a popular topic under sampling using R. A researcher is obligated to take data from samples and make generalizations about the affected population. The following are the methods of sampling commonly used by researcher;

    • Simple sampling
    • Random sampling
    • Stratified sampling
    • Clustered sampling

    Statistics require in depth knowledge in the concepts and sophisticated softwares used in analysis. Most of the topics are interrelated and missing a session can be disastrous. Students often seek statistics experts to help them clear their confusions. We are highly proficient in delivering accurate and quality solutions to statistical assignments. We help students with their thesis, report writing, case studies, research critique and presentations. We have employed a team of highly qualified online tutors to help students with their assignments. We assist students from high school, graduate, postgraduate to PhD level. We have a state of the art facility and the latest technologies needed in doing any statistical assignment.

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    You can get in touch with us via email or live chat and get an appointment with a statistics specialist. Let us know how we can help you get away with your academic burden.