I was wondering why variable mean_y is not recognized by my geom_hline(yintercept = unique(mean_y)) call? library(tidyverse) set.seed(20) n_groups <- 2 n_in
I am writing a wrapper function where I am linking multiple steps of a pipeline. I would like to make it so the user can input multiple options where the value
I have a Landsat 8 dataset downloaded from the USGS. I import into R using the following code: library(raster) library(tmap) B1 <- raster("LC08_L2SP_166072_
I am a newly self-taught user of R and require assistance. I am working with a dataset that has captured location of residence and whether the locality is metro
Identifier Value 511016 75.72911 511016 79.01783 511016 74.87570 511029 72.75873 511029 74.41798 511029 78.56112 The dataset consists of two columns (as above
I have a working curl command: curl -d '{"query":"query {\n accountBalances (first: 5) {\n nodes {\n id\n accountId\n
paramHankel.scaled() is a function in mixComp package to be used for determining the components of a finite mixed model. For example, the following piece of cod
> df A B C 1 1 2 3 2 4 5 6 3 7 8 9 This is an example from another stack over flow question. Actually, in my dataset, there are 301 columns. I wonder How
I can't figure out how to set up an API correctly. I have an example in Python and would like to understand how to reproduce it with R, how to correctly choose
I wanted to do the performance indices in R. My data looks like this (example): enter image description here I want to ignore the comparison of values in Time 2
Suppose we have a data frame: Event <- c("A", "A", "A", "B", "B", "C" , "C", "C") Model <- c( 1, 2, 3, 1, 2, 1, 2, 3) df <- data.frame(Event, Model)
I can read a rastre and exrec polygones likes: If I have this code to read a raster and shapefile: library(raster) library(geojsonsf) library(sf) librar
I am writing my dissertation using R Markdown (output: Word) and have my primary bibliography from which all citations are based. This renders with no issue: ya
I am trying to replicate the below graph to my dataset (df) dyBarChart <- function(dygraph) { dyPlotter(dygraph = dygraph, name = "BarChart",
I want to make a project with flask where you sign up and sign in and then you can make new posts. I use flask-limiter to prevent users from making new posts. A
I'm trying to download a file that requires more than 60 seconds using download.file() function. The documentation mentions the timeout option e.g. The time
'''library(tidyverse)''' df=structure(list(ID = c(348L, 348L, 348L, 348L, 348L, 348L, 348L, 348L, 348L, 348L, 348L, 348L, 348L, 348L, 348L, 533L, 533L, 533L,53
I would like to keep the variable cat (category) in the output of my function. However, I am not able to keep it. The idea is to apply a similar function to m &
I have a data frame like this one: ID duration1 duration2 total_duration quantity1 quantity2 1 5 2 7 3 1
I have a list that contains some other lists, but also contains additional objects that aren't lists such as data frames. I want to flatten this to a single lis