I have data in a text file in which the cases are stacked in a single column. I need to extract selected lines from each case into vectors. I know how to do t
I'm using pandoc version 2.18 and R version 4.1.3. I'm using rmarkdown to knit a document into an html format, but repeatedly receive the following error: pando
I know this is a common question and I've read through many other stackoverflow entries but I am still stuck, apologies! I'm a beginner to R (still!). I have an
I am working on ggplot2 in R, and have used automatic colouring for the plot. It plots stacked bar charts and then converts them to the pie chart. Here is the c
Hi the error message I get when I use library(tidyverse) is: Error: package or namespace load failed for ‘tidyverse’ in loadNamespace(j <- i[[1L]
plots This is what I have tried so far. The box plot is kind of close, but the other plot is way off. ggplot(data_anova, aes(x = delay, y = soa, color = age)) +
Here's my code below. ar2 <- function(n , c ,phi1, phi2, sigma){ if( (phi2 > -1) & (phi2 < 1) & (phi1 + phi2 < 1) & (phi2 - phi1 &
I'm using R markdown to make a beamer presentation. When I try to include an error message output from R on the slide it goes off the page. Here is my code: ---
Apologies if this is obvious, I don't have much experience with R. I have a function contains_leap_year(date1, date2) that I want to pass in as a condition to d
I have two almost identical systems. I install software in system1 (a remote testing environment) in /export/apps/ and then rsync the files to system2 in its /
I have a massive dataset that makes graph plotting tedious and complex. Assume this simplified dataset: library(data.table) library(plotly) library(ggplot2) lib
I need to modify a matrix filled with random numbers so that the resulting matrix has a diagonal with the numbers 1 to 10 and everywhere else there are supposed
I am doing some easy linear mixed effects model as below: lmer( as.numeric(o.m_20_r_coded)~ site + (1 | village), o.m_20_r_coded_dat) %>% summary() Random
I'd like to create several new columns. They should take their names from one vector and they should be computed by taking one column in the data and dividing i
I have created the azure automation account using terraform code. I have multiple runbooks PowerShell scripts saved in my local. I am using for.each option to i
I need to merge three separate DFs ("factors_sed", "resp", and "npoc_sed") based on the shared column "Samples". Each DF contains a different number of rows (s
I've got a table like this: country continent date n_case Ex TD TC -----------------------------------------------------
I'm a bit confused. A matrix A has 8 eigenvalues, some of them are complex, some are real. I want to copy only the eigenvectors that correspond to the real eige
Here is my sample data mydata = data.frame (student =c("A","A","A","A","A","A","A","A","A", "A","A","A","A","A","A","A","B","B","B","B","B","B","B","B","B","B",
I am new to R. Currently I have spent hours on Youtube videos looking to import a folder of CSV files for my data analytics project. The following are my codes: