I am new to R and trying to create two new variables from my dataset.My data frame is called netflix and it contains these relevant columns:date_added and durationExample values:date_added: "...
I have two data frames in R that share SOME columns and SOME rows in an arbitrary order.I now want to create a third data frame that has the columns and rows of data frame 1 merged with the ...
Suppose I have a list of dataframes l. All dataframes are guaranteed to have the same shape and contain the same columns.I would like to combine the columns of those dataframes with a column-specific ...
I'm working with dbplyr and DuckDB to process very large Parquet files using limited system resources. To make my workflow more efficient, I want to create a custom function that can be seamlessly ...
When printing a tibble, how do I print the cells with nested data types (in list columns)? Let's have a look at two examples:1. call data typeb <- tibble(a = 1, prior = list(call("rnorm"...
I am trying to deduct values across a data frame of elements.structure(list(Date = structure(c(20095, 20095, 20095, 20095, 20123, 20123, 20123, 20123), class = "Date"), Type = c("Drip&...
Currently I have a dataframe of bear detections that I want to convert into a binary detection history (14 columns of day1, day2, day3, etc. where:actual_date_out = the date the camera was deployed, ...
In dplyr filter, how to parse conditions which are stored in string?When there's only one condition, below code can worklibrary(dplyr)conditions_string_1 <- "Species=='versicolor'"iris ...
I have some date/time data that has overlapping minutes/hours and I want to calculate how much there is. I'm a little stumped on how to do this. I prefer a tidyverse solution because I'm more familiar ...
Sometimes, in case report forms the almost-same entries are inserted on a certain day and for some patient.I want to find similar, possibly misspelled comment, per patient and date. Finding the ...
I want to extract information from a large df of multiple .docx files. Using the officer package I have so far read all .docx from a folder into 1 df. However I need a way to extract specific sections ...