I`m using svyby from survey to make some weighted ratios with their standard deviation and coefficient of variation, I use the code below to generate a three wa
Suppose the next example: library(knitr) library(kableExtra) df <- data.frame(a = letters[1:10], b = 1:10) names(df) <- c("This is a looooooong title,
I have the dataset as coded below. For a specific set of treatment pair, year, month, level, I have assigned a unique ID. Ideally, a compelete "set" has two row
To knit an Rmd from the command line, you can do the following and it creates an HTML Rscript -e "rmarkdown::knit('test.Rmd')" I want to do this for many Rmds
I'm looking for a nicely formated markdown output of test results that are produced within a for loop and structured with headings. For example df <- data.f
I want to create a function with the summary I am creating with the code below. I tried this but it doesn't work for me. library(expss) df <- data.frame("TB1
I'd like to convert the below list to a data frame but I'm failing at doing it. The list is taken from Microsoft Azure's API listing all resource types with tec
I am trying to calculate the risk ratio for coinfection using the code: *NET_post4['VCandShig']<-NA NET_post4$VCandShig <- ifelse(NET_post4$VC=="Negative
Is there a way to pipe in base R, without having to define your own function (i.e. something 'out of the box'), and without having to load any external packages
In R Markdown, I want a figure caption with a linked citation in R Markdown native citation style [@ref]. However, when I insert the [@hawking_thermodynamics_19
I have a dateframe of player rankings over many years (2000-2020), which looks like : Now, I wish to group_by() and summarise() and calculate statistics for di
I have an rmarkdown document with this: `r {"### MyHeading"}` I would like to add a line break after this (no text, just an empty line). How can I accomplish
I have a simple timeline I've built using Vistime/Plotly: library(vistime) library(plotly) data <- read.csv(text="event,group,start,end,color
I am trying to implement CVaR portfolio optimisation in R. Basically trying to replicate the Matlab approach used in this paper: https://ethz.ch/content/dam/et
I am trying to create a expss like cross table for multiple variables . i have a database which already labelled. df <- data.frame("TB1"=c("OPS", "OPS", "HR
I have earth flow displacements in two directions, converted to point data, which I am trying to combine for an overall offset direction (point to where the flo
I have the following data frame contains cash flows for several items. For example: test <- data.frame(ID = c(rep("A",3), rep("B",4)), time = c("y3
I would like to form random groups out of a number of individuals. For the individuals I have information about their location (two possibilities) and the team
I want to read multiple csv files into R and combine them into one large table. I however need to a column that identifies which file each row came from. Basica
A few days ago I wanted to install a certain package in R that wasn't available in the older version of R. I installed new version of R and R studio and now the