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R programming tutorials includes two parts. Part 1 focus on R programming fundamentals. There are following sections in this part: Get started with R and RStudio environment; R data structure and create datasets; R data management basic methods; R data management advanced methods; Data visualization with ggplot2 package; Data analysis with dplyr package; Working with string and text mining. Part 2 focus on Statistical data analysis using R programming.
According to PyTorch document, In PyTorch, torch.nn.functional.affine_grid generates a 2D or 3D flow field (sampling grid) based on a batch of affine matrices. It is almost exclusively used in combination with torch.nn.functional.grid_sample to perform geometric transformations like rotation, translation, scaling, and shearing. The following code examples show part of a Read more…
We provide effective and economically affordable online training courses for R and Python, click here for more details and course registration ! In linear regression analysis, one may be very interested in relative importance of independent variables, that is, which variable contributes most in explaining the variation of response variable. Read more…
We provide effective and economically affordable online training courses for R and Python, click here for more details and course registration ! Exponential distribution is a continuous distribution that models random time between events (until next event occurs) during a Poisson process, which is a process with constant occurrence rate Read more…
We provide effective and economically affordable online training courses for R and Python, click here for more details and course registration ! Normal distribution is a continuous random variable distribution with bell-shaped probability density curve. It is widely used in statistical data analysis, and the basis for many other distributions Read more…
We provide effective and economically affordable online training courses for R and Python, click here for more details and course registration ! Continuous Uniform distribution is used to model a flat probability existence with a range (A,B). Its probability density can be depicted as The follow figure shows probability density Read more…
We provide effective and economically affordable online training courses for R and Python, click here for more details and course registration ! Poisson distribution is used to model the random number (x) of event occurrence during a Poisson process, which focus on the occurrence of same random events during a Read more…
We provide effective and economically affordable online training courses for R and Python, click here for more details and course registration ! Geometric distribution is to model the random trial number X until a first success, in Bernoulli trial experiments, with constant success rate p. The probability of x can Read more…
We provide effective and economically affordable online training courses for R and Python, click here for more details and course registration ! Negative binomial distribution is used to model the particular probability of k-th success occurring at x-th Bernoulli trial, which is equivalent to say that it has experienced x-1 Read more…
We provide effective and economically affordable online training courses for R and Python, click here for more details and course registration ! Hypergeometric distribution is connected with taking n items (no replacement) from N items, where k items labeled success and N-k items failure. The success number x of n Read more…