The reason the selectize info isn’t loading after refreshing is because of how you’re using it in your ui. The savedGroup selectize input should be a child of the column(4) containing the load and save buttons, not a separate column. Below is an updated version of your code: library(shiny) library(selectize) # Initialize selected groups with an empty string selected_groups <- character(nrow(readRDS("./savedGroups.rda")) + 1) # Load saved group data into global object saved_groups_data <- readRDS(".

Creating Multiple Dataframes Using a Loop in R Introduction R is a powerful language for statistical computing and graphics, widely used in various fields such as data science, engineering, economics, and more. One of the essential tasks in data analysis is to manipulate and transform data into different formats. In this article, we’ll explore how to create multiple dataframes using a loop in R. Background In R, a dataframe is a data structure that stores data in rows and columns.

Introduction to Randomly Selecting Data with Joins ===================================================== As a technical blogger, I’ve encountered numerous questions regarding database queries and data manipulation. One such question that has puzzled many developers is how to select random rows from tables with one-to-many relationships. In this article, we will delve into the intricacies of joining tables and selecting random records. Background: Understanding Tables and Relationships In a typical relational database schema, two tables are related through a common column or set of columns.

Using a Logic Matrix to Select Values from Another Matrix (R) Introduction When working with data matrices in R, it’s often necessary to select values based on conditions applied to another matrix. In this article, we’ll explore how to use a logic matrix to achieve this efficiently. Suppose you have two dataframes, cor and pval, with identical dimensions (18,000 rows, 42 columns). The cor dataframe contains correlation values, while the pval dataframe contains the p-value associated with each correlation value at the same position.

Calculating Moving Median with BigQuery: A Deeper Dive When working with time-series data, calculating moving averages and medians can be a useful way to identify trends and patterns. In this article, we’ll explore how to calculate a 7-day moving median using BigQuery Standard SQL. Understanding the Problem The problem presented involves calculating a 7-day moving median for a specific column in a table within BigQuery. The data contains outliers, which affect the accuracy of the moving average calculations.

Creating Custom MKAnnotations in iOS Maps In this article, we will delve into the world of custom annotations in iOS maps using MapKit. We will explore how to create a custom MKAnnotation class that conforms to the MKAnnotation protocol and implement it ourselves. Introduction to MKAnnotation Protocol The MKAnnotation protocol is part of the MapKit framework and provides a foundation for creating custom map annotations. An annotation represents a point on the map, such as a location or a marker, and can be used to display additional information about that location.

Determining Consecutive and Independent PTO Days in Presto =========================================================== In this article, we will explore how to determine consecutive and independent PTO days in a Presto database. We will use SQL to join the d_employee_time_off table with a calendar table to identify the islands of time taken by employees. Background The problem statement involves two tables: d_employee_time_off and d_date. The d_employee_time_off table contains information about employee time off, while the d_date table represents the dates in the database.

Creating a Bar Plot with Pandas and Matplotlib ===================================================== In this article, we will explore how to create a simple two-sided bar plot using pandas and matplotlib. We will take a look at the basics of bar plots, how to prepare your data, and some common mistakes to avoid. Introduction to Bar Plots A bar plot is a type of chart that displays categorical data as rectangular bars. The height or length of each bar represents the value of the data.

Assigning IDs to Sessions Based on Binary Markers In this article, we’ll explore how to give IDs to sessions in a data frame based on the presence of binary markers. We’ll delve into various approaches using base R, dplyr, and other related concepts. Introduction Binary markers are often used to indicate the start of a new session or event in a dataset. For example, in medical records, a 1 might signify the start of a new patient visit, while a 0 indicates the continuation of the same visit.

Symfony 5: Understanding the Doctrine Query Language and Resolving the “DATE” Key Issue As a developer, working with databases in PHP can be a complex task. One of the popular frameworks for building web applications is Symfony, which utilizes Doctrine as its Object-Relational Mapping (ORM) tool. In this article, we will delve into the world of Doctrine Query Language and explore how to resolve the issue of using the DATE key in an array with keys “NumberProjects” and “date”.