Automatic Linear and Logistic Regression and Survival Analysis

---

Documentation for package ‘autoReg’ version 0.3.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

addFitSummary	Add model summary to an object of class gaze
addLabelData	Add labels to data
adjustedPlot	Draw an expected plot
adjustedPlot.survreg	Draw predicted survival curve with an object survreg
adjustedPlot2	Draw a survfitted plot
adjustedPlot2.survreg	Draw predicted survival curve as a ggplot with an object survreg
anderson	Remission survival times of 42 leukemia patients
anderson1	Remission survival times of 42 leukemia patients
anderson2	Remission survival times of 31 leukemia patients
as_printable	Convert data.frame to printable form
autoReg	Perform univariable and multivariable regression and stepwise backward regression automatically
autoReg.coxph	Perform univariable and multivariable regression and stepwise backward regression automatically
autoReg.glm	Perform univariable and multivariable regression and stepwise backward regression automatically
autoReg.lm	Perform univariable and multivariable regression and stepwise backward regression automatically
autoReg.survreg	Perform univariable and multivariable regression and stepwise backward regression automatically
autoRegCox	perform automatic regression for a class of coxph
autoRegsurvreg	perform automatic regression for a class of survreg
autoReg_sub	Perform univariable and multivariable regression and stepwise backward regression automatically
beNumeric	Whether a string vector can be converted to numeric
bootPredict	Bootstrap simulation for model prediction
countGroups	Count groups
coxzphplot	Graphical Test of Proportional Hazards
crr2stats	Extract statistics from an object of class crr
crrFormula	Competing Risk Regression with Formula
descNum	Make description for numeric summary
df2flextable	Convert data.frame to flextable
drawline	draw line character
expectedPlot	Draw an adjusted Plot for a numeric predictor
filldown	filldown vector with lead value
find1stDup	Find first duplicated position
findDup	Find duplicated term
fit2final	Make final model using stepwise backward elimination
fit2lik	extract likelihood information with a coxph object
fit2list	Make a list of univariable model with multivariable regression model
fit2model	Restore fit model data containing AsIs expressions
fit2multi	Make multivariable regression model by selecting univariable models with p.value below threshold
fit2newdata	Make a new data of mean value or most frequent value
fit2stats	Summarize statistics with a model
fit2summary	Summarize statistics with a model or model list
gaze	Produce table for descriptive statistics
gaze.coxph	Produce table for descriptive statistics
gaze.data.frame	Produce table for descriptive statistics
gaze.formula	Produce table for descriptive statistics
gaze.formula_sub	Produce table for descriptive statistics
gaze.glm	Produce table for descriptive statistics
gaze.lm	Produce table for descriptive statistics
gaze.survreg	Produce table for descriptive statistics
gaze.tidycrr	Produce table for descriptive statistics
gazeCat	Summary function for categorical variable
gazeCont	Summary function for continuous variable
gaze_sub	Summary function for categorical/continuous variable
getInteraction	Get interaction data from data
getN	Get number of data specified by 'name' and 'desc'
getSigVars	Get explanatory variables of a model with significance level below the threshold
ggcmprsk	Draw Cumulative Incidence Curves for Competing Risks
ggcmprsk2	Compare cumulative incidence to th Kaplan-Meier estimate
highlight2	Highlight a data.frame
imputedReg	Make a multiple imputed model
is.mynumeric	Decide whether a vector can be treated as a numeric variable
label_parse	takes the breaks as input and returns labels as output
loglogplot	Draw log-log plot
maxnchar	Return maximum character number except NA
modelPlot	Draw coefficients/odds ratio/hazard ratio plot
modelsSummary	Makes table summarizing list of models
modelsSummaryTable	Makes flextable summarizing list of models
my.chisq.test2	Statistical test for categorical variables Statistical test for categorical variables
my.t.test2	Statistical test for continuous variables
mycphSimple	Fit Simple Proportional Hazards Regression Model
myformat	Convert data.frame to printable format
myft	Convert data.frame into flextable
mysurvregSimple	Fit Simple AFT Model
num2factor	Convert a numeric column in a data.frame to a factor
num2stat	Summarize numeric vector to statistical summary
OEplot	Draw an Observed vs Expected plot
p2character2	Change p value to string
print.autoReg	S3 method print for an object of class autoReg
print.gaze	S3 method print for an object of class gaze
print.modelPlot	S3 method for an class modelPlot
printdf	Print function for data.frame
removeDup	Remove duplicated term
residualNull	Make a residual plot of NULL model
residualPlot	Draw a residual plot with an object of class coxph
restoreData	restore data with factor in column name
restoreData2	restore data with I() in column name
restoreData3	restore data with operator in column name
revOperator	get opposite arithmetic operator
roundDf	Convert numeric columns of data.frame to character
setLabel	Add label to a vector
shorten	Shorten an object of class gaze
showEffect	Show effects of covariates
strata2df	Convert a character vector to a data.frame
survfit2df	Extract survival data from an object of class "survfit"
survreg2final	Make final model using stepwise backward elimination
survreg2multi	Make multivariable regression model by selecting univariable models with p.value below threshold