The problem lies in the fact that data and TOTALE, anno are column names from your data frame, but they should be anno and TOTALE respectively. Also, dmy("16-03-2020") is used to convert a date string into a Date object. However, since the date string “16-03-2020” corresponds to March 16th, 2020 (not March 16th, 2016), this might be causing issues if you’re trying to match it with another date. Here’s an updated version of your code:

Understanding and Resolving the “NA” Warning in R When working with data frames in R, it’s not uncommon to encounter missing values represented by NA. While NA is a valid value in R data structures, certain operations can result in warnings or errors when dealing with columns containing this value. In this article, we’ll delve into the world of missing values in R and explore how to address the “NA” warning that arises when calculating percentages.

IV Regression in Fixed-Effect Models with Diagnostics Understanding the Basics of Instrumental Variables and Fixed Effects In econometrics, when dealing with endogenous variables that can affect the outcome of interest, researchers often rely on instrumental variables (IVs) to identify the causal effect. However, when the data is panel-based, with multiple observations from the same units over time, fixed effects models are commonly used to account for individual-specific heterogeneity. This article delves into the world of IV regression in fixed-effect models, exploring three popular packages in R: plm, fixest, and their respective approaches to diagnostics.

Creating a Dictionary with nlargest Out of a Pandas DataFrame Grouped by Two Different Criteria In this article, we’ll explore how to create a dictionary from a Pandas DataFrame using the nlargest function grouped by two different criteria. We’ll also delve into the world of data manipulation and learn how to join two DataFrames while renaming columns. Introduction The question you asked is an excellent example of how to group and manipulate data in Pandas, but it can be challenging when dealing with multiple criteria.

Hiding the Keyboard on Enter or Search Button Clicks in iOS In this article, we will explore how to hide the keyboard when a user clicks on the enter or search button in an iOS application. We’ll delve into the technical details of the UISearchBar delegate method and provide examples to illustrate the concept. Introduction When building iOS applications, it’s common to include UISearchBar components within UIBarButtonItems as part of the toolbar.

Understanding the Apply Attribute on Tuples in Pandas Pandas is a powerful library used for data manipulation and analysis, particularly with tabular data. One of its key features is the ability to apply various functions to columns or rows of a DataFrame. However, there’s a subtle nuance when working with tuples: the apply method does not directly support applying a function to each element in a tuple. In this article, we’ll explore how to use the apply attribute on tuples in Pandas and provide alternative solutions for similar tasks.

Rendering Quarto Documents with Markdown Syntax Quarto is a modern document generation tool that has gained popularity in recent years due to its flexibility, customization options, and ability to render documents in various formats. One of the key features of Quarto is its rendering engine, which allows users to generate output in different formats such as HTML, PDF, and Markdown. In this article, we will explore how to properly format Quarto render to match Markdown render syntax.

@synthesize IBOutlet Property: Understanding the Details Introduction When working with user interface components in Objective-C, it’s essential to understand how outlets are managed. In particular, when dealing with IBOutlet properties, the role of @synthesize is crucial. This blog post will delve into the details of @synthesize and its relationship with IBOutlet properties, helping you better understand how they work together. What are Outlets? Outlets are a fundamental concept in iOS development.

Understanding the Issues with Overriding Image Property of ImageView Introduction In Objective-C, when working with UIImageView to display images, it’s essential to understand how properties and behaviors work together. In this article, we’ll delve into a common issue that developers face when trying to override the image property of ImageView. We’ll explore why certain code doesn’t compile, what alternative approaches there are, and how to implement them effectively. The Problem: Accessing an Undeclared Variable The question presents a scenario where the developer is attempting to override the image property in the OvalImageView class.

Introduction to Fuzzy Matching with Levenshtein Distance and Penalty for Spacing Fuzzy matching is a technique used in data analysis, natural language processing, and information retrieval. It involves finding matches between strings or words that are not exact due to typos, spelling errors, or other types of variations. In this article, we will explore how to implement fuzzy matching using the Levenshtein distance metric and adjust for spacing penalties. Background on Levenshtein Distance Levenshtein distance is a measure of the minimum number of single-character edits (insertions, deletions, or substitutions) required to transform one string into another.