Occasionally I want to draw a table next to the chart in R, for example, showing summary statistics for the chart itself. Very simple. The tableGrob function creates a curve chart like a data frame that is displayed on the web page of the GGploT2 graphics object.

This article is concerned with the following two issues. How should you add dummy variables? How should you interpret the results? It might be easier to understand these problems if we use an example. Data hypothesis we want to study how wages are determined by education, experience, and whether someone holds a managerial position. Let's say everyone starts at $40,000 a year. True knowledge comes from practice. Every year I gain experience, my salary goes up by $5,000. The more you learn, the more...

This article is concerned with the following two questions. How should you add dummy variables? How should you interpret the results? It might be easier to understand these problems if we use an example. 2 Data Hypothesis We want to study how wages are determined by education, experience, and whether someone holds a managerial position. Let's say everyone starts at $40,000 a year. True knowledge comes from practice. Every year I gain experience, my salary goes up by $5,000. The more you learn, the more you will earn. High school...

Acoustic network AGORA education APAAS product smart class has been upgraded to V1.1.0 version. Agora Smart Classroom can help educational institutions and developers to launch their own brand, full-featured online interactive teaching platform in 15 minutes at the fastest, saving 90% of development time. As of March 31, the number of registered users has exceeded 1000, the number of supported classes has exceeded 500,000 / month, and the total number of students covering the world has exceeded 4 million.

The regression algorithm LARS provides variables through a linear combination of high-dimensional data. It has to do with progressive regression. In this approach, the most relevant variable is selected at each step, whose direction is equiangular between the two predictors.

The quantitative tactical asset allocation strategy (QATAA) model uses a 10-month moving average as a filter. If the asset's price is above its moving average at the end of the month, stay in the market. Otherwise they will leave the market.

Mixed models have been around in statistics for a long time. For example, the standard anOVA method can be seen as a special case of hybrid models. Recently, hybrid models have been applied and extended to cover a wide variety of data situations.

MobileNetSv2 is based on a streamlined architecture that uses deep separable convolution to construct lightweight deep neural nets. This model is based on the implementation of the model structure proposed in MobileNetV2: Inverted Residuals and Linear Curves. You can use images to categorize tasks, such as cats and dogs, flowers, etc. The user provides a series of data sets with annotations, and the algorithm is loaded into a pre-trained model on ImageNet-1000.

The objective of this article is to create a synthetic volatility index that 1) mirrors the VIX as much as possible when applied to the S&P 500; 2) Rely entirely on price as input, so it can be applied to any market index.

The goal of this paper is to create a synthetic VIX that 1) reflects the VIX as closely as possible when applied to the S&P 500; 2) Relying entirely on price as input, so it can be applied to any market index.