andreas/daDoctoR
1
0
Fork 0
mirror of https://github.com/agdamsbo/daDoctoR.git synced 2024-11-21 19:30:22 +01:00
Code Issues Projects Releases Wiki Activity

updated desc, fixed 2 warnings

Browse Source
This commit is contained in:
agdamsbo 2019-11-26 14:11:37 +01:00
parent 1ede313f99
commit 05837a892b
7 changed files with 13 additions and 14 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

11
DESCRIPTION
View File

@ -1,12 +1,11 @@
Package: daDoctoR Package: daDoctoR
Type: Package Type: Package
Title: FUNCTIONS FOR HEALTH RESEARCH Title: Functions For Health Research.
Version: 0.1.0.9036 Version: 0.1.0.9037
Author: c(person("Andreas", "Gammelgaard Damsbo", email = "agdamsbo@pm.me", role = c("cre", "aut"))) Year: 2019
Author: person("Andreas", "Gammelgaard Damsbo", email = "agdamsbo@pm.me", role = c("cre", "aut"))
Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@pm.me> Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@pm.me>
Description: I am a Danish medical doctor involved in neuropsychiatric research. Description: R functions for convenient data management an danalysis in health research.
Here I have collected functions I use for my data analysis. You are very
welcome to get inspired or to use my work.
Imports: broom, dplyr, epiR, ggplot2, MASS, carData, eulerr Imports: broom, dplyr, epiR, ggplot2, MASS, carData, eulerr
Suggest: shiny Suggest: shiny
License: GPL (>= 2) License: GPL (>= 2)

2
R/rep_glm.R
View File

@ -4,7 +4,7 @@
#' @param meas Effect meassure. Input as c() of columnnames, use dput(). #' @param meas Effect meassure. Input as c() of columnnames, use dput().
#' @param vars variables in model. Input as c() of columnnames, use dput(). #' @param vars variables in model. Input as c() of columnnames, use dput().
#' @param string variables to test. Input as c() of columnnames, use dput(). #' @param string variables to test. Input as c() of columnnames, use dput().
#' @param ci flag to get results as OR with 95% confidence interval. #' @param ci flag to get results as OR with 95 percent confidence interval.
#' @param data dataframe to pull variables from. #' @param data dataframe to pull variables from.
#' @param fixed.var flag to set "vars" as fixed in the model. When FALSE, then true bivariate logistic regression is performed. #' @param fixed.var flag to set "vars" as fixed in the model. When FALSE, then true bivariate logistic regression is performed.
#' @keywords logistic #' @keywords logistic

2
R/rep_lm.R
View File

@ -4,7 +4,7 @@
#' @param meas Effect meassure. Input as c() of columnnames, use dput(). #' @param meas Effect meassure. Input as c() of columnnames, use dput().
#' @param vars variables in model. Input as c() of columnnames, use dput(). #' @param vars variables in model. Input as c() of columnnames, use dput().
#' @param string variables to test. Input as c() of columnnames, use dput(). #' @param string variables to test. Input as c() of columnnames, use dput().
#' @param ci flag to get results as OR with 95% confidence interval. #' @param ci flag to get results as OR with 95 percent confidence interval.
#' @param data data frame to pull variables from. #' @param data data frame to pull variables from.
#' @param fixed.var flag to set "vars" as fixed in the model. When FALSE, then true bivariate linear regression is performed. #' @param fixed.var flag to set "vars" as fixed in the model. When FALSE, then true bivariate linear regression is performed.
#' @keywords linear regression #' @keywords linear regression

4
R/rep_olr.R
View File

@ -4,8 +4,8 @@
#' @param meas Effect meassure. Input as c() of columnnames, use dput(). #' @param meas Effect meassure. Input as c() of columnnames, use dput().
#' @param vars variables in model. Input as c() of columnnames, use dput(). #' @param vars variables in model. Input as c() of columnnames, use dput().
#' @param string variables to test. Input as c() of columnnames, use dput(). #' @param string variables to test. Input as c() of columnnames, use dput().
#' @param ci flag to get results as OR with 95% confidence interval. #' @param ci flag to get results as OR with 95 percent confidence interval.
#' @param data data frame to pull variables from. #' @param data data.frame to pull variables from.
#' @keywords olr #' @keywords olr
#' @export #' @export

2
man/rep_glm.Rd
View File

@ -14,7 +14,7 @@ rep_glm(meas, vars = NULL, string, ci = FALSE, data,
\item{string}{variables to test. Input as c() of columnnames, use dput().} \item{string}{variables to test. Input as c() of columnnames, use dput().}
\item{ci}{flag to get results as OR with 95% confidence interval.} \item{ci}{flag to get results as OR with 95 percent confidence interval.}
\item{data}{dataframe to pull variables from.} \item{data}{dataframe to pull variables from.}

2
man/rep_lm.Rd
View File

@ -14,7 +14,7 @@ rep_lm(meas, vars = NULL, string, ci = FALSE, data,
\item{string}{variables to test. Input as c() of columnnames, use dput().} \item{string}{variables to test. Input as c() of columnnames, use dput().}
\item{ci}{flag to get results as OR with 95% confidence interval.} \item{ci}{flag to get results as OR with 95 percent confidence interval.}
\item{data}{data frame to pull variables from.} \item{data}{data frame to pull variables from.}

4
man/rep_olr.Rd
View File

@ -13,9 +13,9 @@ rep_olr(meas, vars, string, ci = FALSE, data)
\item{string}{variables to test. Input as c() of columnnames, use dput().} \item{string}{variables to test. Input as c() of columnnames, use dput().}
\item{ci}{flag to get results as OR with 95% confidence interval.} \item{ci}{flag to get results as OR with 95 percent confidence interval.}
\item{data}{data frame to pull variables from.} \item{data}{data.frame to pull variables from.}
} }
\description{ \description{
For bivariate analyses. The confint() function is rather slow, causing the whole function to hang when including many predictors and calculating the ORs with CI. For bivariate analyses. The confint() function is rather slow, causing the whole function to hang when including many predictors and calculating the ORs with CI.