Datasets in R are often represented as a matrix or data frame structure. The first step of a machine learning project in R is loading your data into R as a matrix or data frame. Need more Help with R for Machine Learning? Take my free 14-day email course and discover how to use R...
Chapter 3: Help out your friends that are still paying for their statistical software and import their datasets from SAS, STATA, and SPSS using the haven and foreign packages. Chapter 4: Pull data in style from popular relational databases, including SQL. Chapter 5: Learn the valuable skill o...
The vdemdata R package This package contains the most recent V-Dem (Country-Year: V-Dem Full+Others) and V-Party datasets and provides some additional functions. Basics: vdem: Load the V-Dem dataset (for non-R users, please access the V-Dem datasethere) ...
Before choosing to support the purchase of Statistica at my workplace, I came across the ff package as an option for working with really big datasets (with special attention paid to ff dataframes, or ffdf). It looked like a good option to use, allowi...
2.2 Datasets and Instruments The PPC provided the Q-Qs pair (Fig. 10), daily; monthly Q (m3 s−1) (Fig. 11), and monthly Qs (kg s−1) (Fig. 12) records per cross-section. The mean monthly Q, Qs patterns are displayed in Figs. 13; 14, respectively. The Q-Qs pairs sampli...
The data are then separated into training and testing datasets. The training dataset is used to create the machine learning algorithms, which are then tested against a new dataset to see how well they perform. In this study, 30% of the dataset is used to evaluate the performance of the ...
closed this asnot plannedon Aug 24, 2023 promaprogga commentedon Oct 16, 2023 promaprogga glenn-jocher commentedon Nov 15, 2023 glenn-jocher Sign up for freeto join this conversation on GitHub.Already have an account?Sign in to comment...
The predicted failure loads of the RLSH-1000 and RLSH-2000 datasets were found to be 5.0 and 4.0% higher than the experimentally measured values, respectively. This difference is considered statistically insignificant, and so these results are considered to be verified. Furthermore, it is clear fr...
The datasets used and/or analysed during the current study available from the corresponding author on reasonable request. References Laloui, L. & Loria, A. R. Analysis and design of energy geostructures: Theoretical essentials and practical application (Academic Press, 2019). Google Scholar Bourne...
The most common application of `r Biocpkg("SingleR")` involves predicting cell type (or "state", or "kind") in a new dataset, a process that is facilitated by the availability of built-in references and compatibility with user-supplied datasets. a process that is facilitated by the availab...