WebPackage ‘NBR’ October 12, 2024 Type Package Title Network-Based R-Statistics using Mixed Effects Models Version 0.1.5 Author Zeus Gracia-Tabuenca [aut, cre], Sarael Alcauter [aut] Maintainer Zeus Gracia-Tabuenca Description An implementation of network-based statistics in R using mixed effects models. WebNov 8, 2024 · plot() will visualise an incidence object using ggplot2. make_breaks() calculates breaks from an incidence object that always align with the bins and start on the first observed incidence. scale_x_incidence() produces and appropriate ggplot2 scale based on an incidence object. Value. plot() a ggplot2::ggplot() object. make_breaks() a two ...
Descriptive Epidemiology using epiR - cran.r-project.org
Webincidence implements functions and classes to compute, handle, visualise and model incidences from dates data. This vignette provides an overview of current features. It largely reproduces the content of REAME.md. Installing the package To install the current stable, CRAN version of the package, type: install.packages ( "incidence") WebThe design effect is used to adjust the confidence interval around a prevalence or incidence risk estimate in the presence of clustering. The design effect is a measure of the variability between clusters and is calculated as the ratio of the variance calculated assuming a complex sample design divided by the variance calculated assuming simple ... highest grossing movies in worldwide
10 Popular & Best R Packages for Data Science & Analysis
WebNov 4, 2016 · incidence package - RDocumentation incidence (version 1.7.3) Compute, Handle, Plot and Model Incidence of Dated Events Description Provides functions and classes to compute, handle and visualise incidence from dated events for a defined time interval. Dates can be provided in various standard formats. WebApr 5, 2024 · Incidence risk (also known as cumulative incidence) is the proportion of initially susceptible individuals in a population who become new cases during a defined follow-up period. Incidence rate (also known as incidence density) is the number of new cases of disease that occur per unit of individual time at risk during a defined follow-up … WebMay 14, 2024 · 3 Answers. Sorted by: 5. We can do a group by summarise into a list and then unnest the list components into separate columns. library (tidyverse) df %>% group_by (time,age, ethnic, gender) %>% summarise (age_adjust = list (ageadjust.direct (count = count, pop = pop, rate = rate, stdpop = weight))) %>% mutate (age_adjust = map … highest grossing movies of 1988