# Plots MUAC z-scores and percentiles on references curves. Plots individual MUAC z-scores and percentiles on standardized growth references using the LMS method for children and adolescents aged 3 months to 19 years. ```r plotmuac( age, sex, muac, age_range = "3-60", graphtype = "z-scores", lwd = 1, line.color = "skyblue", line.type = "solid", shape = 2, size.label = 2, size.score = 4, Notes = FALSE ) ``` ## Arguments - `age`: a numeric value (in months) between 3 and 228 depending on the age_range. - `sex`: preferably numeric (1 = Male, 2 = Female). Strings (such as "Male", "Female") can also be used. - `muac`: a numeric mid upper arm circumference value in cm. - `age_range`: age range in months. Input has to be characters. Options allowed are: "3-60" which is the default, or "60-228". - `graphtype`: A character input is required: "z-scores" or "percentiles". - `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. - `line.color`: The color of the lines. It is set to "skyblue" by default. - `line.type`: Type of line such as: "solid", "dotted", "dashed", "blank", "dotdash", "twodash", "longdash" - `shape`: of the individual point (marker) - `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. - `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. ## Returns Plots z-scores or percentiles with a mark indicating where the individual person lies within the standardized reference curves. ## Examples ```r g1 <- plotmuac(age = 48, sex = 2, muac = 16.2, line.color = "orange") g2 <- plotmuac(age = 48, sex = 2, muac = 16.2, graphtype = "percentiles", line.color = "orange") g3 <- plotmuac(age = c(24, 36, 48, 59), sex = 1, muac = c(13, 14.5, 16.1, 21.7)) g4 <- plotmuac(age = c(24, 36, 48, 59), sex = 1, muac = c(13, 14.5, 16.1, 21.7), graphtype = "percentiles") g5 <- plotmuac(age = c(61, 73, 181, 217), sex = 1, muac = c(13, 15.7, 34.1, 43.9), age_range = "60-228") g6 <- plotmuac(age = c(61, 73, 181, 217), sex = 1, muac = c(13, 15.7, 34.1, 43.9), age_range = "60-228", graphtype = "percentiles") ``` ## References Mramba L., Ngari M., Mwangome M., Muchai L., Bauni E., Walker A.S., Gibb D.M., Fegan G. and Berkley J.A. (2017) **A growth reference for mid upper arm circumference for age among school age children and adolescents, and validation for mortality: growth curve construction and longitudinal cohort study** BMJ 2017;358:j3423 ## See Also `indivmuaczs`, `muaczs`, `bmizs`, `muacz.bmiz` and `plotbmi`.

plotmuac function