e.main.plot {EPLSIM}

plot single exposure's main effect

Description

plot single exposure's main effect

Usage

e.main.plot(fit, data, exp_name)

Arguments

fit

Fitted model from function 'plsi.lr.v1'

data

Original data set

exp_name

exposure name hoping to be plotted

Value

plot of exposure's main effect with other exposures at average level 0

Author(s)

Yuyan Wang

Examples

# example to plot some exposure's main effect
data(nhanes.new)
dat <- nhanes.new

# specify variable names and parameters
Y.name <- "log.triglyceride"
X.name <- c("X1_trans.b.carotene", "X2_retinol", "X3_g.tocopherol", "X4_a.tocopherol",
            "X5_PCB99", "X6_PCB156", "X7_PCB206",
            "X8_3.3.4.4.5.pncb", "X9_1.2.3.4.7.8.hxcdf", "X10_2.3.4.6.7.8.hxcdf")
Z.name <- c("AGE.c", "SEX.Female", "RACE.NH.Black",
           "RACE.MexicanAmerican", "RACE.OtherRace", "RACE.Hispanic" )
spline.num = 5
spline.degree = 3
initial.random.num = 1

# run PLSI linear regression
set.seed(2023)
model_1 <- plsi.lr.v1(data = dat, Y.name = Y.name, X.name = X.name, Z.name = Z.name,
                      spline.num, spline.degree, initial.random.num)

# plot some exposure's main effect
e.main.plot(model_1, dat, exp_name = c("X4_a.tocopherol"))
e.main.plot(model_1, dat, exp_name = c("X5_PCB99"))
e.main.plot(model_1, dat, exp_name = c("X10_2.3.4.6.7.8.hxcdf"))