Introduction to Log Likelihood Calculation for Gamma, Weibull, and Log Normal Distributions =========================================================== In this article, we will delve into the process of calculating the log likelihood of data given Gamma, Weibull, and Log normal distributions in R. This involves understanding the concept of log likelihood, how it is calculated, and how to apply it to these specific distributions. What is Log Likelihood? Log likelihood is a measure of the goodness of fit between observed data and a statistical model.

Faceting Data with Missing Values: A Deep Dive Understanding the Problem When working with data, it’s common to encounter missing values (NAs). These values can be problematic when performing statistical analyses or visualizations, as they can skew results or make plots difficult to interpret. In this post, we’ll explore how to facet data with NAs using R and the ggplot2 library. What are Facets in ggplot2? Introduction Facets in ggplot2 allow us to create multiple panels within a single plot, enabling us to compare different groups of data side by side.

Truncate if Exists in psql Function and Call Function Table of Contents Proper solution TLDR Delete the function again Why not use this approach? Safe Function with Schema Qualification Schema-qualifying table names Using search_path Returning a value from the function TLDR To execute a Postgres function (returning void), call it with SELECT: SELECT truncate_if_exists('web_channel2'); Proper solution The original code: CREATE OR REPLACE FUNCTION truncate_if_exists(tablename text) RETURNS VOID LANGUAGE plpgsql AS $$ BEGIN select from information_schema.

Perimeter Search with a Maximum of 1 Item of a Specific Group In this article, we’ll explore the problem of finding shops within a certain distance from each other. Specifically, for chain shops, we only want to consider the closest shop as part of the result. However, all non-chain shops should be found. Problem Background The example provided demonstrates a proximity search on a table of shops. The goal is to find the closest shops to each other.

Matching Substrings from a Delimited Value in One Table to the Records in a Second Table, and Building a Join In this article, we’ll explore how to match substrings from a delimited value in one table to the records in a second table and build a join. We’ll delve into the details of MySQL’s find_in_set function, discuss the importance of fixing your data model when working with CSV-like data, and provide examples and explanations for the process.

Assigning One Column Value to Another Based on Condition in Pandas In this article, we will explore how to assign one column value to another based on a condition in pandas. Specifically, we will focus on assigning the value from another column when the first column contains null or zero values. Introduction Pandas is a powerful library in Python for data manipulation and analysis. One of its key features is the ability to easily work with tabular data.

Understanding paste in R: Suppressing NAs Introduction The paste function in R is a versatile tool for combining strings or vectors into a single string. However, when dealing with missing values (NA), the behavior of paste can be misleading and lead to unexpected results. In this article, we will delve into the world of R’s paste function, explore its nuances, and provide a solution to suppress NAs in paste(). Background The paste function was introduced in R 1.

Manipulating Pandas Pivot Tables ===================================== In this article, we will explore the process of manipulating a pandas pivot table to extract specific values and calculate percentages. Pivot tables are an efficient way to summarize data by aggregating values across different categories. However, when working with pivot tables, it’s essential to understand how to manipulate them to get the desired output. Initial Data We start with a sample dataset that represents monthly reports for various locations:

Sorting Numbers in a Column Based on the Entire Number, Not Just the Leading Digit, in Base R Introduction In this article, we’ll explore how to sort numbers in a column based on the entire number, not just the leading digit, in base R. We’ll delve into the reasons behind this behavior and provide solutions using built-in functions. Understanding Base R’s Number Representation When working with numbers in R, it’s essential to understand how they’re represented internally.

Window Functions in SQL: A Deep Dive Understanding the Problem The problem at hand involves using the LEAD window function in SQL to retrieve data from a previous row. The query is designed to compare data in a column with another line from the same column, but there’s an issue when only one entry is present for the current year. Background and Context Window functions are used to perform calculations across rows that are related to the current row, such as aggregations, ranking, and more.