Produces either a dataframe of diagnosis frequencies or a plot. For a quantitative reference variable (e.g. BMI), the plot shows frequency of diagnosis within each group (deciles of the reference variable by default) at the (max - min) / 2 for each group.
ukb_icd_freq_by(
data,
reference.var,
n.groups = 10,
icd.code = c("^(I2[0-5])", "^(I6[0-9])", "^(J09|J1[0-9]|J2[0-2]|P23|U04)"),
icd.labels = c("coronary artery disease", "cerebrovascular disease",
"lower respiratory tract infection"),
plot.title = "",
legend.col = 1,
legend.pos = "right",
icd.version = 10,
freq.plot = FALSE,
reference.lab = "Reference variable",
freq.lab = "UKB disease frequency"
)A UKB dataset (or subset) created with ukb_df.
UKB ICD frequencies will be calculated by levels of this variable. If continuous, by default it is cut into 10 intervals of approximately equal size (set with n.groups).
Number of approximately equal-sized groups to split a continuous variable into.
ICD disease code(s) e.g. "I74". Use a regular expression to specify a broader set of diagnoses, e.g. "I" captures all Diseases of the circulatory system, I00-I99, "C|D[0-4]." captures all Neoplasms, C00-D49. Default is the WHO top 3 causes of death globally in 2015, see http://www.who.int/healthinfo/global_burden_disease/GlobalCOD_method_2000_2015.pdf?ua=1. Note. If you specify `icd.codes`, you must supply corresponding labels to `icd.labels`.
Character vector of ICD labels for the plot legend. Default = V1 to VN.
Title for the plot. Default describes the default icd.codes, WHO top 6 cause of death 2015.
Number of columns for the legend. (Default = 1).
Legend position, default = "right".
The ICD version (or revision) number, 9 or 10.
If TRUE returns a plot of ICD diagnosis by target variable. If FALSE (default) returns a dataframe.
An x-axis title for the reference variable.
A y-axis title for disease frequency.