Function reference • autoReg

All functions

OEplot(): Draw an Observed vs Expected plot

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

autoRegCox(): perform automatic regression for a class of coxph

autoReg_sub(): Perform univariable and multivariable regression and stepwise backward regression automatically

autoRegsurvreg(): perform automatic regression for a class of survreg

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(<formula_sub>): 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

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