Description Usage Arguments Details Value Author(s) Examples
View source: R/PTwins30102019.R
The PTwins function estimates the fetus weight percentile using a multilevel linear model developed from a Spanish twin cohort.
1 |
weight |
The fetus weight estimated by ultrasound at a gestational age (weeks) using Hadlock formula: log10(FW)=1.3596-0.00386(AC)x(FL)+0.0064(HC)+0.0006(BPD)x(AC)+ 0.0424(AC)+0.174(FL) FW: fetal weight, AC: abdominal circumference, FL: femur lenght, HC: head circumference, BPD: biparital diameter |
week |
The gestational age in weeks for which the Fetus weight where estimated |
day |
The exact day in the gestational week at which the fetus weight were estimated. For the percentile calculation, if we choose for example: week=23, day=2, this is equivalent to 163 days of GA |
dichorionic |
This parameter indicates if the fetus is dichorionic-diamniotic (dichorionic=TRUE) or monochorionic-monoamniotic (dichorionic=FALSE) |
The inputs weight, week, day or dichorionic can be a number or a vector to include several cases
The returned fit object of PTwins contains the following components.
Percentile |
Percentile of the fetus weight |
weight |
fetus weight |
GA |
Gestational age in exact weeks |
Rocio Aznar, Luis Mariano Esteban, Gerardo Sanz, Ricardo Saviron
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | #Percentile estimation of a dichorionic-diamniotic fetus of 2300 grams
#of weight estimated at the 22nd week (+2 days) of gestational age.
PTwins(weight=2300,week=22,day=2,dichorionic=TRUE)
#Percentile estimation of a monochorionic-diamniotic fetus of 2300 grams
#of weight estimated at the 22nd week (+2 days) of gestational age.
PTwins(weight=2300,week=22,day=2,dichorionic=FALSE)
#Percentile estimation of a dataframe that includes 10 cases
WEIGHT<-round(rnorm(10,2100,125),digits=0)
WEEK<-sample(seq(18,36),10)
DAY<-sample(seq(0,7),10,replace=TRUE)
dichorionic<-sample(c("TRUE","FALSE"),10,replace=TRUE)
DT<-data.frame(WEIGHT,WEEK,DAY,dichorionic)
PTwins(weight=DT$WEIGHT,week=DT$WEEK,day=DT$DAY,dichorionic=DT$dichorionic)
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