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mjskay.github.io | ||
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ggplot2.tidyverse.org
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| | | | | Aesthetic mappings describe how variables in the data are mapped to visual properties (aesthetics) of geoms. Aesthetic mappings can be set in ggplot() and in individual layers. | |
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tibble.tidyverse.org
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| | | | | as_tibble() turns an existing object, such as a data frame or matrix, into a so-called tibble, a data frame with class tbl_df. This is in contrast with tibble(), which builds a tibble from individual columns. as_tibble() is to tibble() as base::as.data.frame() is to base::data.frame(). as_tibble() is an S3 generic, with methods for: data.frame: Thin wrapper around the list method that implements tibble's treatment of rownames. matrix, poly, ts, table Default: Other inputs are first coerced with base::as.... | |
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easystats.github.io
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| | | | | [AI summary] The article explains credible intervals in Bayesian statistics, comparing them to frequentist confidence intervals, discussing their computation methods (HDI, ETI, SI), and their implications for interpreting statistical results. | |
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yasoob.me
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| | | Hey guys! I recently wrote a review paper regarding the use of Machine Learning in Remote Sensing. I thought that some of you might find it interesting and insightful. It is not strictly a Python focused research paper but is interesting nonetheless. Introduction to Machine Learning and its Usage in Remote Sensing 1. Introduction Machines have allowed us to do complex computations in short amounts of time. This has given rise to an entirely different area of research which was not being explored: teachin... | ||
