Printing Tables and Plots Side by Side with Multicol in PDF Knit Loop In this article, we will explore how to print tables and plots side by side using the multicol environment in a PDF document created with the R Markdown package knitr. We’ll go through the process of creating a loop that prints 3 tables (using kableExtra) and 3 plots (from ggsurvplot) for each page of a PDF, while maintaining the correct layout.

ValueError: Cannot Insert Column, Already Exists ============================================= When working with pandas DataFrames and inserting new columns, it’s essential to understand why you might encounter a ValueError related to an already existing column. In this article, we’ll delve into the details of this error and explore how to resolve it using Python. Understanding Pandas DataFrame Columns In pandas, a DataFrame is essentially a two-dimensional table of data with rows and columns. Each column represents a variable or attribute of the data, while each row represents an observation or record.

Pandas Subtract Rows Where Column A Equals X from Rows Where Column A Equals Y Introduction The pandas library is a powerful data manipulation tool in Python. It provides an efficient and flexible way to work with structured data, including tabular data such as spreadsheets or SQL tables. In this article, we will explore how to subtract rows where column A equals X from rows where column A equals Y in a pandas DataFrame.

Serializing Non-R Objects and R Objects Together ====================================================== When working with objects in R that are pointers to lower-level constructs, such as those used by popular machine learning libraries like LightGBM, saving and loading these objects can be a challenge. The standard solution often involves using separate savers and load functions specific to the library, which can lead to cluttered file systems and inconvenient workflows. In this article, we’ll explore an alternative approach that uses R’s built-in serialization functions to bind R objects and non-R objects together into a single file.

Here is the revised code with the requested changes: library(MASS) library(purrr) data <- read.csv("data.csv", header = FALSE) set.seed(1); eigen_fun <- function() { sigma1 <- as.matrix((data[,3:22])) sigma2 <- as.matrix((data[,23:42])) sample1 <- mvrnorm(n = 250, mu = as_vector(data[,1]), Sigma = sigma1) sample2 <- mvrnorm(n = 250, mu = as_vector(data[,2]), Sigma = sigma2) sampCombined <- rbind(sample1, sample2); covCombined <- cov(sampCombined); covCombinedPCA <- prcomp(sampCombined); eigenvalues <- covCombinedPCA$sdev^2; } mat <- replicate(50, eigen_fun()) colMeans(mat) library(ggplot2) library(tidyr) library(dplyr) as.

SQL Average Function and Filtering Tuples in a Table In this article, we will explore how to calculate the average value of a column in a database table using SQL’s AVG() function. We’ll also discuss how to use this function to find tuples (rows) in a table where a specific column value is greater than the calculated average. Introduction to SQL Average Function The AVG() function is used to calculate the average of a set of values in a database table.

Replacing a Row with Multiple Other Rows As data analysts and engineers, we often encounter situations where we need to transform or manipulate data in complex ways. One such scenario involves replacing a row with multiple other rows based on certain criteria. In this article, we’ll explore how to achieve this using SQL and provide an example solution. Understanding the Problem Let’s break down the problem statement: We have a table your_table containing an animal column.

Understanding Stored Procedures in Spring Data JPA Introduction to Stored Procedures Stored procedures are a way to encapsulate a group of SQL statements and execute them as a single unit. They can be used to simplify complex queries, improve performance, and reduce the risk of SQL injection attacks. In this article, we will explore how to use stored procedures in Spring Data JPA, specifically with regards to determining the correct call signature for a procedure.

Understanding UITableView Overlapping Issues ===================================================== In this article, we’ll delve into the complexities of interacting with a UITableView that overlaps another UITableView. We’ll explore the underlying reasons behind this issue and provide step-by-step solutions to resolve it. Background: UITableView Basics A UITableView is a powerful control in iOS development used for displaying tabular data. It consists of multiple components, including: Cells: Represent individual table rows or columns. Sections: Divide the table into logical groups.

Introduction to R Packages and Shiny Apps In this article, we’ll delve into the world of R packages and Shiny apps. Specifically, we’ll explore how to load an own package in a Shiny app using R. We’ll also address the common issue of uploading a Shiny app with a custom package to shinyapps.io. What are R Packages? In R, a package is a collection of functions, datasets, and other resources that can be shared and reused across multiple projects.