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rcssci (version 0.4.0)

rcs_linear.prob: rcs_linear.prob

Description

restricted cubic splines (RCS) published in SCI.

Value

message.print PH assumption and other message

Arguments

data

data.frame.Rdata

knot

knot=3-7 or automatic calculate by AIC min

y

outcome=0,1

covs

covariables, univariate analysis without "covs" command, multivariable analysis with "covs" command

prob

position parameter,range from 0-1

x

main exposure and X-axis when plotting

filepath

path of plots output.

Author

Zhiqiang Nie, niezhiqiang@gdph.org.cn

Details

linear models with RCS splines were performed to explore the shape linear or nonlinear(U, inverted U,J,S,L,log,-log,temporary plateau shape)

Examples

Run this code
library(rcssci)
rcs_linear.prob(data=sbpdata, y = "sbp",x = "age",
prob=0.1,filepath=tempdir())
# library(rcssci)
# rcs_linear.prob(knot=4,data=sbpdata, y = "sbp",x = "age",
# covs=c("gender"),prob=0.1,filepath="D:/temp")

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