R is an open source programming language for statistical computing and graphics, it is widely used by statisticians and data miners.На основе 35390 отзывов, клиенты оценивают наших R Programmers в 4.85 звездочки(-ек) из 5.
I am interested in updating a monthly portfolio rebalancing algorithm with signals in R, which has been developed using quantstrat. In a nutshell, I would like to use quantstrat to set trailing stops on each buy/sell positions, which are being set on the portfolio. Additionally, I would like to rebalance the portfolio every week or month outside of quantstrat. A knowledge of quantstrat or an equivalent backtesting framework is required.
Looking for an expert in Survival Analysis to determine the possible direction reversal in a time series data. This is a consulting task only. A good understanding of the R language is required. It's an urgent requirement and I want someone to start ASAP on this project.
It is an ecology project that requires me to use Rscipt. The assignment is attached as follows. It would be under the Data Analysis section in the Word document and the Excel containes the dataset:
Looking for somebody to write an R code plotting the results of Synthetic Control Method (any ready SCM package from the internet could be used) for our assessment of tax policy with already extracted data
Hello, I need an R expert to conduct boostraping on two data sets which i will provide and answer the following questions: 1. Make pre-analysis of the data: check some moments and make an inference about the distribution of the data 2. estimate the differences between the two standard errors, compute the standard deviation, bias and 95% confidence interval with 1000 bootstrap replications. 3. just test if the difference between standard error is equal to 1, calculating the boot strap t statistics and comparing it with critical values of the standard normal distribution (maybe also add the percentile method for testing the Ho
It is an housing price dataset where I already have build the models and compared them but I want to make changes to the model building . I'm looking someone who has advanced knowledge of R-studio and Knows how to apply log on regression model.
I will tell you the dataset from Kaggle, you will have to clean the data in a meaningful way, create 4-5 appropriate visualization, and apply the Regression model, Naive Bayes classification, and K-means clustering model in RStudio.
I want report in latex format .