In CDU-data-science-team/honos: Analyse and Visualise the Nation Outcome Scales (HoNOS)

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Calculate lagged scores

• lag_honos(): Calculate lagged scores based on a date variable and calculate change labels (e.g., "high to low", or 'deterioration')
• calc_change_label(): Creates change labels for repeated measures of the HoNOS. This is an optional argument in the lag_honos() function or can be used separately

It is slightly confusing to see the two variables honos_i8_prob and honos_i8_spec repeated in long format for all 18 items. This is because the information in these two variables cant be used when calculating lagged change scores, but these values are associated with entire assessment of a particular individual. The current implementation allows to filter for all HoNOS assessments with a specified problem in variable honos_i8_prob using the dplyr::filter() function for example. This may be useful in cases when it is preferred to only perform analyses for a specified subgroup of individuals, oh highlight different subgroups when plotting the data (e.g., by using the aesthetic colour = prob_var_item8 when using the ggplot2 package for visualising the data).

library(honos)

honos_data %>% 
  lag_honos(id_var = id, 
            date_var = date,
            value_vars_current = c("q1", "q2", "q3", "q4", "q5", "q6", "q7", 
                                   "q8", "q9", "q10", "q11", "q12", "q13"),
            prob_var_item8 = c("q8_prob"),
            spec_var_item8 = c("q8_spec"),
            value_vars_history = c("qa", "qb", "qc", "qd", "qe"))

CDU-data-science-team/honos documentation built on Nov. 7, 2021, 9:20 p.m.