Description Usage Arguments Value References See Also Examples
Plots BMI z-scores and percentiles on standardized growth references using the LMS method for children and adolescents aged 0 to 19 years.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 |
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. |
Plots z-scores or percentiles with a mark indicating where the individual person lies within the standardized reference curves.
<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>
indivmuaczs
, muaczs
, bmizs
, muacz.bmiz
and plotmuac
.
1 2 3 4 5 6 7 8 9 | 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")
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