Package 'childsds'

Description

Parameters from recommendations of the German Adiposity Association (2015, AGA)

Usage

aga_15.ref

Source

"Kromeyer-Hauschild K, Moss A, Wabitsch M. Referenzwerte fuer den Body-Mass-Index fuer Kinder, Jugendliche und Erwachsene in Deutschland. Adipositas - Ursachen, Folgeerkrankungen, Therapie. 2015;09(3):123-7."

Description

aggregate lms parameters

Usage

aggregate_lms(lms.list)

Arguments

Details

function takes the lms part of the result from the do_iterations() function and returns the mean parameters

Value

list of dataframes containing the aggregated parameters, each for every level of sex

Author(s)

Mandy Vogel

Description

Parameters derived from Flandern population

Usage

belgium.ref

Source

Roelants M, Hauspie R, Hoppenbrouwers K. References for growth and pubertal development from birth to 21 years in Flanders, Belgium. Annals of Human Biology. 2009 Dezember;36(6):680-94.

Description

Parameters for different bone parameters

Usage

bone.ref

Source

"Geserick M, Vogel M, Eckelt F, et al. Children and adolescents with obesity have reduced serum bone turnover markers and 25-hydroxyvitamin D but increased parathyroid hormone concentrations – Results derived from new pediatric reference ranges. Bone 2020;132:115124 and Weber et al. unpublishedfor VitD binding protein"

Description

Parameters from Wuehl et al. blood pressure reference values Germany according to age, from version 0.7.3 unplausible values are replaced by interpolated ones. For the original values check out earlier versions

Usage

bp_wuehl_age.ref

Source

"Wuehl E, Witte K, Soergel M, Mehls O, Schaefer F, Hypertension for the GWG on P. Distribution of 24-h ambulatory blood pressure in children: normalized reference values and role of body dimensions. Journal of Hypertension. 2002 Oct;20(10):1995.", implausible values were replaced by interpolated ones from package version 0.7.4

Description

Parameters from Wuehl et al. blood pressure reference values Germany according to height from version 0.7.3 unplausible values are replaced by interpolated ones. For the original values check out earlier versions

Usage

bp_wuehl_height.ref

Source

"Wuehl E, Witte K, Soergel M, Mehls O, Schaefer F, Hypertension for the GWG on P. Distribution of 24-h ambulatory blood pressure in children: normalized reference values and role of body dimensions. Journal of Hypertension. 2002 Oct;20(10):1995.", implausible values were replaced by interpolated ones from package version 0.7.4

Description

Calculate confidence intervals

Usage

calc_confints(
  lms.list,
  perc = c(2.5, 5, 50, 95, 97.5),
  level = 0.95,
  type = c("point")
)

Arguments

Details

The function takes a lms list as returned by do_iterations and calculates the confidence bands for a given set of percentiles using envelope from the boot package

Value

list containing the respective confidence envelopes

Author(s)

mandy

Description

LMS Parameters for the Centers for Disease Control and Prevention 2000 Growth Charts, contains bmi, height, head cirumference, weight, weight for length,

Usage

cdc.ref

Source

National health statitics reports 63.

Description

Parameters for height of normal weight and obese children from the CrescNet database dependent on height

Usage

cn.ref

Source

"Kempf et al. In progress"

Description

Parameters of skinfold measures derived from Colombian population

Usage

colombia_sf.ref

Source

Ramirez-Velez, R. et al. Triceps and Subscapular Skinfold Thickness Percentiles and Cut-Offs for Overweight and Obesity in a Population-Based Sample of Schoolchildren and Adolescents in Bogota, Colombia. Nutrients 8, (2016).

Description

Do lms iterations

Usage

do_iterations(
  data.list,
  n = 10,
  max.it = 1000,
  method = "gamlss",
  prop.fam = 0.75,
  prop.subject = 1,
  age.min = 0,
  age.max = 18,
  age.int = 1/12,
  keep.models = F,
  dist = "BCCGo",
  mu.df = 4,
  sigma.df = 3,
  nu.df = 2,
  tau.df = 2,
  verbose = F,
  formula = NULL,
  sigma.formula = ~1,
  nu.formula = ~1,
  tau.formula = ~1,
  method.pb = "ML",
  trans.x = F,
  lim.trans = c(0, 1.5)
)

Arguments

Details

function samples families, samples measurements (and subjects), fits the model for a given number of iterations

Value

list of lists for models and fitted parameters

Author(s)

Mandy Vogel

Description

Parameters for different carotid artery intima-media thickness and distensibility dependent on age

Usage

doyon_age.ref

Source

"Doyon A, Kracht D, Bayazit AK, et al. Carotid artery intima-media thickness and distensibility in children and adolescents: reference values and role of body dimensions. Hypertension 2013;62(3):550-6"

Description

Parameters for different carotid artery intima-media thickness and distensibility dependent on height

Usage

doyon_height.ref

Source

"Doyon A, Kracht D, Bayazit AK, et al. Carotid artery intima-media thickness and distensibility in children and adolescents: reference values and role of body dimensions. Hypertension 2013;62(3):550-6"

Description

Parameters for bodyfat ( for Whites, Blacks, and Mexican-Americans

Usage

duran_bf.ref

Source

"Duran I, Martakis K, Rehberg M, Stark C, Schafmeyer L, Schoenau E. Reference Centiles for the Evaluation of Nutritional Status in Children using Body Fat Percentage, Fat Mass and Lean Body Mass Index. Journal of Clinical Densitometry [Internet] 2019 [cited 2019 Mar 19];Available from: https://linkinghub.elsevier.com/retrieve/pii/S1094695018302622"

Description

Parameters derived Ethiopian children

Usage

ethiop.ref

Source

Amare, E. B. et al. Reference Ranges for Head Circumference in Ethiopian Children 0–2 Years of Age. World Neurosurgery 84, 1566–1571.e2 (2015).

Description

fit gamlss

Usage

fit_gamlss(
  data,
  age.min = 0.25,
  age.max = 18,
  age.int = 1/12,
  keep.models = F,
  dist = "BCCGo",
  mu.df = 4,
  sigma.df = 3,
  nu.df = 2,
  tau.df = 2,
  trans.x = F,
  lim.trans = c(0, 1.5),
  value,
  tmpdata
)

Arguments

Details

wrapper around the lms function in the gamlss package returns the fitted lms-parameter at given age points the function is called inside do_iterations and may not called directly

Value

list containing a dataframe of the fitted lms parameter at the given age points and the fitted model

Author(s)

Mandy Vogel

Description

fit_gamlss

Usage

fit_gamlss1(
  data,
  age.min = 0,
  age.max = 80,
  age.int = 1/12,
  keep.models = F,
  dist = "BCCGo",
  formula = NULL,
  sigma.formula = ~1,
  nu.formula = ~1,
  tau.formula = ~1,
  method.pb = "ML"
)

Arguments

Details

wrapper around the gamlss function from the gamlss package returns the fitted lms-parameter at given age points the function is called inside do_iterations and may not be called directly

Value

list containing a dataframe of the fitted lms parameter at the given age points and the fitted model

Author(s)

Mandy Vogel

Description

fit gamlss

Usage

fit_vgam(
  data,
  age.min = 0.25,
  age.max = 18,
  age.int = 1/12,
  keep.models = F,
  dist = "BCN",
  mu.df = 4,
  sigma.df = 3,
  nu.df = 2,
  value
)

Arguments

Details

wrapper around the vgam function in the VGAM package returns the fitted lms-parameter at given age points the function is called inside do_iterations and may not called directly

Value

list containing a dataframe of the fitted lms parameter at the given age points and the fitted model

Author(s)

mandy

Description

Parameters derived from Dutch children (additional to nl4.ref)

Usage

fredriks05.ref

Source

Fredriks, A. M. et al. Nationwide age references for sitting height, leg length, and sitting height/height ratio, and their diagnostic value for disproportionate growth disorders. Archives of Disease in Childhood 90, 807–812 (2005)

Description

International Laboratory Parameters Tables

Usage

international_lab.ref

Source

Bidlingmaier, M., Friedrich, N., Emeny, R.T., Spranger, J., Wolthers, O.D., Roswall, J., Koerner, A., Obermayer-Pietsch, B., Huebener, C., Dahlgren, J., others, 2014. Reference intervals for insulin-like growth factor-1 (IGF-I) from birth to senescence: results from a multicenter study using a new automated chemiluminescence IGF-I immunoassay conforming to recent international recommendations. The Journal of Clinical Endocrinology & Metabolism 99, 1712-1721.

Friedrich, N., Wolthers, O.D., Arafat, A.M., Emeny, R.T., Spranger, J., Roswall, J., Kratzsch, J., Grabe, H.J., Huebener, C., Pfeiffer, A.F.H., Doering, A., Bielohuby, M., Dahlgren, J., Frystyk, J., Wallaschofski, H., Bidlingmaier, M., 2014. Age- and Sex-Specific Reference Intervals Across Life Span for Insulin-Like Growth Factor Binding Protein 3 (IGFBP-3) and the IGF-I to IGFBP-3 Ratio Measured by New Automated Chemiluminescence Assays. The Journal of Clinical Endocrinology & Metabolism 99, 1675-1686. doi:10.1210/jc.2013-3060

Description

Parameters for iron-related blood parameters in children

Usage

iron.ref

Source

Rieger, K. et al. Reference intervals for iron-related blood parameters: results from a population-based cohort study (LIFE Child). LaboratoriumsMedizin 40, (2016).

Description

Parameters derived from Italian children

Usage

italian.ref

Source

Cacciari E, Milani S, Balsamo A, Spada E, Bona G, Cavallo L, et al. Italian cross-sectional growth charts for height, weight and BMI (2 to 20 yr). J Endocrinol Invest. 2006 Jul 1;29(7):581–93.

Description

Parameters of serum insulin-like growth factor-I (IGF-I)

Usage

japan_lab.ref

Source

Isojima, T., Shimatsu, A., Yokoya, S., Chihara, K., Tanaka, T., Hizuka, N., Teramoto, A., Tatsumi, K., Tachibana, K., Katsumata, N., Horikawa, R., 2012. Standardized centile curves and reference intervals of serum insulin-like growth factor-I (IGF-I) levels in a normal Japanese population using the LMS method. Endocrine Journal 59, 771-780. doi:10.1507/endocrj.EJ12-0110

Description

Parameters derived from Japanese children

Usage

japanese.ref

Source

Inokuchi, M., Matsuo, N., Anzo, M., Takayama, J. I. & Hasegawa, T. Age-dependent percentile for waist circumference for Japanese children based on the 1992–1994 cross-sectional national survey data. Eur J Pediatr 166, 655–661 (2007)

Description

Parameters for Cardiovascular Magnetic Resonance

Usage

kawel_boehm.ref

Source

"Kawel-Boehm N, Hetzel SJ, Ambale-Venkatesh B, et al. Reference ranges (“normal values”) for cardiovascular magnetic resonance (CMR) in adults and children: 2020 update. Journal of Cardiovascular Magnetic Resonance 2020;22(1):87."

Description

Parameters derived from the German KiGGS cohort

Usage

kiggs_bp.ref

Details

contains 2-dimensional reference grid. Do not use with sds but sds_2d

Source

Neuhauser, H. K., Thamm, M., Ellert, U., Hense, H. W. & Rosario, A. S. Blood Pressure Percentiles by Age and Height from Nonoverweight Children and Adolescents in Germany. Pediatrics peds.2010-1290 (2011). doi:10.1542/peds.2010-1290.

Description

LMS Parameters for German reference data (KiGGS, 2003-2006) for height, weight, bmi, hip, whr, whtr, bodyfat, skinfold sum, triceps skinfold, subscapular skinfold, and waist circumference

Usage

kiggs.ref

Source

Referenzperzentile fuer anthropometrische Masszahlen und Blutdruck aus KiGGS 2003-2006, Robert Koch Institut, Germany

Description

LMS Parameters for German reference data (Kromeyer Hauschild, 2001) for height, weight, bmi, and waist circumference, including preterm correction (Voigt)

Usage

kro.ref

Source

Perzentile fuer den Body-mass-Index fuer das Kindes- und Jugendalter unter Heranziehung verschiedener deutscher Stichproben, Monatsschrift Kinderheilkunde August 2001, Volume 149, Issue 8, pp 807-818; Fruehgeborenenkorrektur nach Voigt

Description

Parameters for different circumferences and whr and whtr

Usage

life_circ.ref

Source

"Roennecke E, Vogel M, Bussler S, Grafe N, Jurkutat A, Schlingmann M, Koerner A, Kiess W. Age- and sex-related percentiles of skinfold thickness, waist and hip circumference, Waist-to- Hip Ratio and Waist-to-Height Ratio: Results from a population-based paediatric cohort in Germany (LIFE Child). Obesity Facts. 2019."

Description

Parameters for different metabolom parameters from the LIFE Child cohort

Usage

life_cysc.ref

Source

"Ziegelasch N, Vogel M, Müller E, et al. Cystatin C Serum Levels in Healthy Children Are Related to Age, Gender, and Pubertal Stage. Pediatr Nephrol 2019; 34: 449–57."

Description

Parameters for fibroscan from the LIFE Child cohort

Usage

life_fibroscan.ref

Source

"preliminary reference values cap med and e med from fibroscan in the life child study. Publication (Puasa et al) in preparation."

Description

hs-Troponin T and NT-proBNP from the LIFE Child cohort

Usage

life_heart.ref

Source

"Kiess A, Green J, Willenberg A, et al. Age-dependent reference values for hs-Troponin T and NT-proBNP and determining factors in a cohort of healthy children (The LIFE child study). Pediatric Cardiology 2022. Accepted"

Description

IGF-I and IGF-BP3 from the LIFE Child cohort

Usage

life_igf.ref

Source

"Hoerenz C, Vogel M, Wirkner K. BMI and contraceptives affect new age-, sex-, and puberty-adjusted IGF-I and IGFBP-3 reference ranges across life span. JCEM 2022 (in (minor) revision)."

Description

Parameters for serum liver enzymes

Usage

life_liver.ref

Source

Bussler et al, New pediatric percentiles of liver enzyme serum levels (ALT, AST, GGT): effects of age, sex, BMI and pubertal stage, Hepatology 2017

Description

Parameters for different skinfolds

Usage

life_skinfold.ref

Source

"Roennecke E, Vogel M, Bussler S, Grafe N, Jurkutat A, Schlingmann M, Koerner A, Kiess W. Age- and sex-related percentiles of skinfold thickness, waist and hip circumference, Waist-to- Hip Ratio and Waist-to-Height Ratio: Results from a population-based paediatric cohort in Germany (LIFE Child). Obesity Facts. 2019."

Description

Parameters for TSH, FT3, FT4 from the LIFE Child cohort

Usage

life_thyr.ref

Source

"Surup H., Vogel M., Koerner A., Hiemisch A., Oelkers L., Willenberg A., Kiess W., Kratzsch J. (2021). BMI and puberty have to be included into the interpretation of TSH, FT3 and FT4 measurements by new pediatric reference intervals. THYROID."

Description

Parameters for serum lipids in children

Usage

lipids.ref

Source

Dathan-Stumpf, A. et al. Pediatric reference data of serum lipids and prevalence of dyslipidemia: Results from a population-based cohort in Germany. Clinical Biochemistry 49, 740–749 (2016).

Description

Calculate raw values for percentile curve

Usage

make_percentile_tab(
  ref,
  item,
  perc = c(2.5, 5, 50, 95, 97.5),
  stack = F,
  age = NULL,
  include.pars = T,
  digits = 4,
  sex
)

Arguments

Details

calculates quantile values for given RefGroup and given percentiles

Value

data frame either with the different percentiles as columns or, if stacked, as data frame with four columns: age, sex, variable, value

Author(s)

Mandy Vogel

Examples

ptab <- make_percentile_tab(ref = kro.ref,
                            item = "height",
                           perc = c(2.5,10,50,90,97.5),
                           stack = TRUE)

ggplot2::ggplot(ptab, ggplot2::aes(x = age, y = value, colour = variable)) +
   ggplot2::geom_line() +
   ggplot2::facet_wrap(~ sex, nrow = 2)

Description

Parameters for different metabolom parameters from the LIFE Child cohort

Usage

metabolom.ref

Source

"Hirschel, J., Vogel, M., Baber, R., Garten, A., Beuchel, C., Dietz, Y., Dittrich, J., Körner, A., Kiess, W., & Ceglarek, U. (2020). Relation of Whole Blood Amino Acid and Acylcarnitine Metabolome to Age, Sex, BMI, Puberty, and Metabolic Markers in Children and Adolescents. Metabolites, 10(4), 149. https://doi.org/10.3390/metabo10040149"

Description

mock values for a given reference

Usage

mock_df(ref, item, n = 1000)

Arguments

Details

mock values for a given reference

Value

data frame containing a age, sex, and value column

Author(s)

mandy

Description

mock a value for a given reference

Usage

mock_value(ref, item, sex = c("male", "female"), age)

Arguments

Details

the function creates a random value for a given age and sex value and a given reference

Value

a random value from the conditional distribution (conditionally on age and sex)

Author(s)

mandy

Description

mock values for a given reference, given age and given sex

Usage

mock_values(df, sex, age, ref, item)

Arguments

Details

the function creates random values for given age and sex values and a given reference

Value

data frame containing the additional column with random numbers

Author(s)

mandy

Description

Parameters for the German MoMo study (sports test)

Usage

momo.ref

Source

"Niessner C, Utesch T, Oriwol D, et al. Representative Percentile Curves of Physical Fitness From Early Childhood to Early Adulthood: The MoMo Study. Front Public Health 2020;8. Available from: https://www.frontiersin.org/articles/10.3389/fpubh.2020.00458/full?report=reader"

Description

Parameters for 5 subtests of the KiGGS Motorik Module

Usage

motor.ref

Source

"Sobek et al. In progress"

Description

Parameters of skinfold measures derived from Colombian population

Usage

nl3.ref

Source

Fredriks, A. M. et al. Continuing positive secular growth change in The Netherlands 1955-1997. Pediatric research 47, 316-323 (2000).

Fredriks, A.M., van Buuren, S., Wit, J.M., Verloove-Vanhorick, S.P., 2000. Body index measurements in 1996-7 compared with 1980. Archives of disease in childhood 82, 107-112.

https://cran.r-project.org/package=AGD

Description

Parameters derived from the 4th Dutch growth study

Usage

nl4.ref

Source

Fredriks, A. M. et al. Nationwide age references for sitting height, leg length, and sitting height/height ratio, and their diagnostic value for disproportionate growth disorders. Archives of Disease in Childhood 90, 807–812 (2005); Fredriks, A. M. et al. Height, weight, body mass index and pubertal development references for children of Moroccan origin in The Netherlands. Acta Paediatr. 93, 817–824 (2004); Fredriks, A. M. et al. Continuing positive secular growth change in The Netherlands 1955–1997. Pediatric research 47, 316–323 (2000); Fredriks, A. M. et al. Height, weight, body mass index and pubertal development reference values for children of Turkish origin in the Netherlands. Eur. J. Pediatr. 162, 788–793 (2003); Fredriks, A. M., van Buuren, S., Wit, J. M. & Verloove-Vanhorick, S. P. Body index measurements in 1996–7 compared with 1980. Archives of disease in childhood 82, 107–112 (2000); R package: AGD, Stef van Buuren, http://www.stefvanbuuren.nl/

Description

one iteration

Usage

one_iteration(
  data.list,
  method,
  prop.fam = 0.75,
  prop.subject = 1,
  age.min = 0,
  age.max = 18,
  age.int = 1/12,
  keep.models = F,
  dist = "BCCGo",
  formula = NULL,
  sigma.df = 3,
  nu.df = 2,
  mu.df = 4,
  tau.df = 2,
  sigma.formula = ~1,
  nu.formula = ~1,
  tau.formula = ~1,
  verbose = F,
  trans.x = F,
  lim.trans = c(0, 1.5),
  method.pb = "ML"
)

Arguments

Details

function samples families then measurements and fits the model the function is called inside do_iterations and may not called directly

Value

list of lists each containing a dataframe of the fitted lms parameter at the given age points and the fitted model

Author(s)

Mandy Vogel

Description

Reference tables

Slots

item

identifier of the item

dist

named list which contains the distribution which was used in fitting the references. One entry for male and one for female

Description

Parameters derived from Portuguese children

Usage

portug.ref

Source

Chaves, R., Baxter-Jones, A., Souza, M., Santos, D. & Maia, J. Height, weight, body composition, and waist circumference references for 7-to 17-year-old children from rural Portugal. HOMO-Journal of Comparative Human Biology 66, 264–277 (2015).

Description

prepare data for repeated iteration process

Usage

prepare_data(
  data,
  group = NULL,
  subject = "SIC",
  sex = NULL,
  value = "value",
  age = "age",
  lb = -Inf,
  ub = Inf
)

Arguments

Details

given a dataframe, the column name of the subject identifier, sex, age, value and group colums, the function creates a dataframe containing only these five columns with the standard column names group, subject, sex, age, value. lines containing missing values are removed.

Value

list of dataframes containing the columns group, subject, sex, age, value; one dataframe for every level of sex

Author(s)

Mandy Vogel

Description

Parameters Preterm and Intrauterine

Usage

preterm.ref

Source

Olsen, I.E., Lawson, M.L., Ferguson, A.N., Cantrell, R., Grabich, S.C., Zemel, B.S., Clark, R.H., 2015. BMI Curves for Preterm Infants. PEDIATRICS 135, e572-e581. doi:10.1542/peds.2014-2777

Olsen, I.E., Groveman, S.A., Lawson, M.L., Clark, R.H., Zemel, B.S., 2010. New intrauterine growth curves based on United States data. Pediatrics 125, e214-224. doi:10.1542/peds.2009-0913

Description

Container for reference tables

Slots

name

name of the reference group

refs

List of references, each reference refers to one item and contains independent variable age, and the parameter values for both genders

citations

information about the sources of the references

info

additional infos regarding the references

Author(s)

Mandy Vogel

Examples

data(kiggs.ref)
print(kiggs.ref)
data(ukwho.ref)
print(ukwho.ref)
data(who.ref)
print(who.ref)

Description

Parameters derived from Saudi children

Usage

saudi.ref

Source

Mouzan, M. I. E., Salloum, A. A. A., Alqurashi, M. M., Herbish, A. S. A. & Omar, A. A. The LMS and Z scale growth reference for Saudi school-age children and adolescents. Saudi Journal of Gastroenterology 22, 331 (2016)

Shaik, S.A., El Mouzan, M.I., AlSalloum, A.A., AlHerbish, A.S., 2016. Growth reference for Saudi preschool children: LMS parameters and percentiles. Ann Saudi Med 36, 2-6. doi:10.5144/0256-4947.2016.2

Description

Calculate SDS values

Usage

sds(value, age, sex, item, ref, type = "SDS", male = "male", female = "female")

Arguments

Details

The function takes a vector of measurement values, and of age and of sex and a RefGroup object as arguments. It calculates the sds or percentile values.

Value

vector containing SDS or percentile values

Author(s)

Mandy Vogel

Examples

anthro <- data.frame(age = c(11.61,12.49,9.5,10.42,8.42,10.75,9.57,10.48),
                     height = c(148.2,154.4,141.6,145.3,146,140.9,145.5,150),
                     sex = sample(c("male","female"), size = 8, replace = TRUE),
                     weight = c(69.5,72.65,47.3,51.6,45.6,48.9,53.5,58.5))
anthro$height_sds <- sds(anthro$height,
                         age = anthro$age,
                         sex = anthro$sex, male = "male", female = "female",
                         ref = kro.ref,
                         item = "height",
                         type = "SDS")

anthro$bmi <- anthro$weight/(anthro$height**2) * 10000
anthro$bmi_perc <- sds(anthro$bmi,
                       age = anthro$age,
                       sex = anthro$sex, male = "male", female = "female",
                       ref = kro.ref,
                       item = "bmi",
                       type = "perc")
data(who.ref)
x <- data.frame(height=c(50,100,60,54),
                sex=c("m","f","f","m"),
                age=c(0,2.9,0.6,0.2))
sds(value = x$height, age = x$age, sex = x$sex, male = "m", female = "f",
    ref = who.ref, item = "height")

Description

Calculate SDS values for 2-dimensional matrix of covariates

Usage

sds_2d(
  value,
  age,
  x2,
  sex,
  item,
  ref,
  type = "SDS",
  male = "male",
  female = "female"
)

Arguments

Details

The function takes a vector of measurement values, and of age and a second covariate (like age and height for blood pressure) of sex and a RefGroup object as arguments. It calculates the sds or percentile values. This function is beta.

the function searches for the nearest given point in the reference grid. From there, the SDS/percentile value will be calculated. Different from sds, no interpolation will be applied. The procedure is according to Neuhauser et al. Blood Pressure Percentiles by Age and Height from Nonoverweight Children and Adolescents in Germany. 2011.

Value

vector containing SDS or percentile values

Author(s)

Mandy Vogel

Description

Calculate SDS values - old version for comparison

Usage

sdsold(
  value,
  age,
  sex,
  item,
  ref,
  type = "SDS",
  male = "male",
  female = "female"
)

Arguments

Details

The function takes a vector of measurement values, and of age and of sex and a RefGroup object as arguments. It calculates the sds or percentile values.

Value

vector containing SDS or percentile values

Author(s)

Mandy Vogel

Examples

anthro <- data.frame(age = c(11.61,12.49,9.5,10.42,8.42,10.75,9.57,10.48),
                     height = c(148.2,154.4,141.6,145.3,146,140.9,145.5,150),
                     sex = sample(c("male","female"), size = 8, replace = TRUE),
                     weight = c(69.5,72.65,47.3,51.6,45.6,48.9,53.5,58.5))
anthro$height_sds <- sds(anthro$height,
                         age = anthro$age,
                         sex = anthro$sex, male = "male", female = "female",
                         ref = kro.ref,
                         item = "height",
                         type = "SDS")

anthro$bmi <- anthro$weight/(anthro$height**2) * 10000
anthro$bmi_perc <- sds(anthro$bmi,
                       age = anthro$age,
                       sex = anthro$sex, male = "male", female = "female",
                       ref = kro.ref,
                       item = "bmi",
                       type = "perc")
data(who.ref)
x <- data.frame(height=c(50,100,60,54),
                sex=c("m","f","f","m"),
                age=c(0,2.9,0.6,0.2))
sds(value = x$height, age = x$age, sex = x$sex, male = "m", female = "f",
    ref = who.ref, item = "height")

Description

Select groups (families)

Usage

select_fams(data, prop = 0.75, group, verbose = F)

Arguments

Details

function selects a given proportion of groups/families from the data if no grouping variable is given the original data set is returned function is called inside do_iterations and may not called directly

Value

dataframe containing only prop.fam percent the families in data

Author(s)

Mandy Vogel

Description

Choose one measurement per subject

Usage

select_meas(data, subject = "subject", prop = 1, verbose = F)

Arguments

Details

function samples one measurement per subject, if prop < 1 additional a prop*100 percent will be sampled from the measurements the function is called inside do_iterations and may not called directly

Value

dataframe containing the sampled rows

Author(s)

Mandy Vogel

Description

show method for ParTab

Usage

## S4 method for signature 'ParTab'
show(object)

Arguments

Details

show method for ParTab

Value

print information about the respective reference table

Author(s)

Mandy Vogel

Description

show method for RefGroup

Usage

## S4 method for signature 'RefGroup'
show(object)

Arguments

Details

show method for RefGroup

Value

prints information about age range, citations, etc.

Author(s)

Mandy Vogel

Description

Parameters derived from Turkish children

Usage

turkish.ref

Source

Hatipoglu, N. et al. Waist circumference percentiles for 7- to 17-year-old Turkish children and adolescents. Eur J Pediatr 167, 383–389 (2008);Bundak, R. et al. Body mass index references for Turkish children. Acta Paediatrica 95, 194–198 (2006).

Neyzi, O., Furman, A., Bundak, R., Gunoz, H., Darendeliler, F., Bas, F., 2006. Growth references for Turkish children aged 6 to 18 years. Acta Paediatrica 95, 1635-1641. doi:10.1080/08035250600652013

Bundak, R. et al. Body mass index references for Turkish children. Acta Paediatrica 95, 194-198 (2006).

Description

Parameters from the 1990 UK growth study

Usage

uk1990.ref

Source

Cole, T.J., Freeman, J.V., Preece, M.A., 1998. British 1990 growth reference centiles for weight, height, body mass index and head circumference fitted by maximum penalized likelihood. Statistics in medicine 17, 407-429.

Cole, T.J., Freeman, J.V., Preece, M.A., 1995. Body mass index reference curves for the UK, 1990. Archives of disease in childhood 73, 25-29.

Description

LMS Parameters for UK-WHO growth charts for height, weight, bmi, head circumference

Usage

ukwho.ref

Source

Wright, Charlotte M., et a,Practice pointer: Using the new UK-WHO growth charts. British Medical Journal 340.c1140 (2010): 647-650.Preterm British 1990, 0-4 WHO2006, 4-18 British1990

Description

Parameters derived from US children (additional to the cdc.ref)

Usage

us.ref

Source

Sharma, A. K., Metzger, D. L., Daymont, C., Hadjiyannakis, S. & Rodd, C. J. LMS tables for waist-circumference and waist-height ratio Z-scores in children aged 5-19 y in NHANES III: association with cardio-metabolic risks. Pediatric research (2015)

Description

LMS Parameters for UK-WHO growth charts for height, weight, bmi, head circumference,arm mid upper arm circumference, subscapular and triceps skinfold, weight for height

Usage

who.ref

Source

de Onis, M., Onyango, A., Borghi, E., Siyam, A., Blossner, M., & Lutter, C. (2012). Worldwide implementation of the WHO child growth standards. Public Health Nutr, 12, 1-8.

Description

Parameters of skinfold measures derived from Colombian population

Usage

who2007.ref

Source

Onis, M. de, Onyango, A.W., Borghi, E., Siyam, A., Nishida, C., Siekmann, J., 2007. Development of a WHO growth reference for school-aged children and adolescents. Bulletin of the World health Organization 85, 660-667.

Description

Worm plot ggplot version

Usage

wormplot_gg(
  m = NULL,
  residuals = NULL,
  age = NA,
  n.inter = 1,
  y.limits = c(-1, 1)
)

Arguments

Details

creates a wormplot for a gamlss model or a given vector of normalized quantile residuals, either for all residuals or grouped by age intervals

Value

ggplot object

Description

Parameters derived from Chinese children (additional to nl4.ref)

Usage

zong13.ref

Source

Zong, X.-N., Li, H. Construction of a New Growth References for China Based on Urban Chinese Children: Comparison with the WHO Growth Standards. PLOS ONE 8, e59569 (2013).