MUACz (version 2.1.0)

plotbmi: Plots BMI z-scores and percentiles on references curves.

Description

Plots BMI z-scores and percentiles on standardized growth references using the LMS method for children and adolescents aged 0 to 19 years.

Usage

plotbmi(
  age,
  sex,
  bmi,
  lwd = 1,
  age_range = "0-24",
  line.color = "skyblue",
  graphtype = "z-scores",
  size.label = 2,
  size.score = 4,
  line.type = "solid",
  shape = 2,
  Notes = FALSE
)

Arguments

age

a numeric value (in months) from 0 to 228 depending on the age_range.

sex

preferably numeric (1 = Male, 2 = Female). Strings (such as "Male", "Female") can also be used.

bmi

a numeric value in kilograms per meter squared (kg/m^2).

lwd

Line width allows you to specify a numeric value that control the width of the line plots. By dafult, it is set to 1.

age_range

age range in months. Input has to be characters. It allows "0-24" by default. Other inputs allowed are "24-60" or "61-228".

line.color

The color of the lines. It is set to "skyblue" by default.

graphtype

A character input is required: "z-scores" or "percentiles".

size.label

size of the label for calculated z-score or percentile

size.score

refers to the size of the text for the calculated z-scores (-3,-2,-1,0,1,2,3) or the percentiles.

line.type

Type of line such as: "solid", "dotted", "dashed", "blank", "dotdash", "twodash", "longdash"

shape

of the individual point (marker)

Notes

Is FALSE by default. If set to TRUE, 'notes' will be printed on the console about the nature, range of variables allowed and number of records processed.

Value

Plots z-scores or percentiles with a mark indicating where the individual person lies within the standardized reference curves.

References

<https://www.who.int/childgrowth/standards/bmi_for_age/en/>

<https://www.who.int/growthref/who2007_bmi_for_age/en/>

<https://www.who.int/childgrowth/standards/Technical_report.pdf>

See Also

indivmuaczs, muaczs, bmizs, muacz.bmiz and plotmuac.

Examples

# NOT RUN {
g1 <- plotbmi(age = 6, sex = 2, bmi = 18.5) # plots Z-scores

g2 <- plotbmi(age = 6, sex = 2, bmi = 18.5, graphtype = "percentiles")

g3 <- plotbmi(age = c(25, 36, 48, 60), sex = 2, bmi = c(15.7, 16.8, 20.6, 12.7),
      age_range = "24-60")

g4 <- plotbmi(age = c(61, 73, 181, 217), sex = 1, bmi = c(12.1, 14.1, 27.1, 35.4),
      age_range = "61-228", graphtype = "percentiles")

# }