adhd_pc_0
ADHD, percentiles of adhd_pro_0...
Description
- Format
continuous
- N repeats
21
Harmonisation status per Cohort
Overview of the harmonisation status per Cohort...
- Completed
- Partial
- No data
About statuses
ALSPAC | BIB | CHOP | DNBC | EDEN | ELFE | ELSPAC | GenR | INMA | NFBC1986 | NINFEA | PELAGIE | RAINE | RHEA | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
adhd_pc_0 | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped |
adhd_pc_1 | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | partial | unmapped | unmapped |
adhd_pc_2 | unmapped | unmapped | unmapped | unmapped | complete | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | partial | unmapped | unmapped |
adhd_pc_3 | complete | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | complete | unmapped | unmapped | unmapped | unmapped | complete |
adhd_pc_4 | complete | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | complete | unmapped | complete | unmapped | unmapped | complete |
adhd_pc_5 | complete | unmapped | complete | unmapped | complete | complete | unmapped | unmapped | complete | unmapped | unmapped | complete | complete | complete |
adhd_pc_6 | complete | complete | unmapped | unmapped | complete | complete | complete | unmapped | complete | unmapped | unmapped | complete | unmapped | unmapped |
adhd_pc_7 | complete | complete | unmapped | complete | complete | unmapped | complete | complete | complete | unmapped | unmapped | complete | unmapped | unmapped |
adhd_pc_8 | complete | complete | unmapped | complete | complete | unmapped | complete | complete | complete | unmapped | unmapped | unmapped | complete | unmapped |
adhd_pc_9 | complete | complete | unmapped | unmapped | unmapped | unmapped | complete | complete | complete | unmapped | unmapped | unmapped | unmapped | unmapped |
adhd_pc_10 | complete | complete | complete | unmapped | unmapped | unmapped | complete | complete | complete | unmapped | unmapped | unmapped | complete | unmapped |
adhd_pc_11 | complete | complete | complete | complete | unmapped | unmapped | complete | complete | complete | unmapped | unmapped | unmapped | unmapped | unmapped |
adhd_pc_12 | complete | complete | unmapped | complete | unmapped | unmapped | complete | unmapped | complete | unmapped | unmapped | complete | unmapped | unmapped |
adhd_pc_13 | complete | complete | unmapped | complete | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | complete | complete | complete | unmapped |
adhd_pc_14 | complete | complete | unmapped | complete | unmapped | unmapped | complete | unmapped | unmapped | complete | unmapped | unmapped | unmapped | unmapped |
adhd_pc_15 | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | complete | unmapped | unmapped | complete | unmapped | unmapped | unmapped | unmapped |
adhd_pc_16 | complete | unmapped | unmapped | unmapped | unmapped | unmapped | complete | unmapped | unmapped | complete | unmapped | unmapped | complete | unmapped |
adhd_pc_17 | complete | unmapped | unmapped | unmapped | unmapped | unmapped | complete | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped |
adhd_pc_18 | unmapped | unmapped | unmapped | complete | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped |
adhd_pc_19 | unmapped | unmapped | unmapped | complete | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped |
adhd_pc_20 | unmapped | unmapped | unmapped | complete | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped |
adhd_pc_21 | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped |
Harmonisation details per Cohort
Select a Cohort to see the details of the harmonisation...
- Name
- adhd_pc_0
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None
- Name
- adhd_pc_1
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None
- Name
- adhd_pc_2
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None
- Name
- adhd_pc_3
- Harmonisation status
- Completed
- Description
- This code first identifies all repeated measures variable with the correct prefix and then creates percentiles using the "xtile" function
- Variables used
- Syntax
wp6_high.data %<>% mutate_at(vars(int_pro.vars, ext_pro.vars, adhd_pro.vars), .funs = list(tmp_perc = ~xtile(., n = 100))) %>% rename_at(vars(contains("tmp_perc")), list( ~gsubfn("pro|_tmp_perc", list("pro" = "pc", "_tmp_perc" = ""), .)))
- Name
- adhd_pc_4
- Harmonisation status
- Completed
- Description
- This code first identifies all repeated measures variable with the correct prefix and then creates percentiles using the "xtile" function
- Variables used
- Syntax
wp6_high.data %<>% mutate_at(vars(int_pro.vars, ext_pro.vars, adhd_pro.vars), .funs = list(tmp_perc = ~xtile(., n = 100))) %>% rename_at(vars(contains("tmp_perc")), list( ~gsubfn("pro|_tmp_perc", list("pro" = "pc", "_tmp_perc" = ""), .)))
- Name
- adhd_pc_5
- Harmonisation status
- Completed
- Description
- This code first identifies all repeated measures variable with the correct prefix and then creates percentiles using the "xtile" function
- Variables used
- Syntax
wp6_high.data %<>% mutate_at(vars(int_pro.vars, ext_pro.vars, adhd_pro.vars), .funs = list(tmp_perc = ~xtile(., n = 100))) %>% rename_at(vars(contains("tmp_perc")), list( ~gsubfn("pro|_tmp_perc", list("pro" = "pc", "_tmp_perc" = ""), .)))
- Name
- adhd_pc_6
- Harmonisation status
- Completed
- Description
- This code first identifies all repeated measures variable with the correct prefix and then creates percentiles using the "xtile" function
- Variables used
- Syntax
wp6_high.data %<>% mutate_at(vars(int_pro.vars, ext_pro.vars, adhd_pro.vars), .funs = list(tmp_perc = ~xtile(., n = 100))) %>% rename_at(vars(contains("tmp_perc")), list( ~gsubfn("pro|_tmp_perc", list("pro" = "pc", "_tmp_perc" = ""), .)))
- Name
- adhd_pc_7
- Harmonisation status
- Completed
- Description
- This code first identifies all repeated measures variable with the correct prefix and then creates percentiles using the "xtile" function
- Variables used
- Syntax
wp6_high.data %<>% mutate_at(vars(int_pro.vars, ext_pro.vars, adhd_pro.vars), .funs = list(tmp_perc = ~xtile(., n = 100))) %>% rename_at(vars(contains("tmp_perc")), list( ~gsubfn("pro|_tmp_perc", list("pro" = "pc", "_tmp_perc" = ""), .)))
- Name
- adhd_pc_8
- Harmonisation status
- Completed
- Description
- This code first identifies all repeated measures variable with the correct prefix and then creates percentiles using the "xtile" function
- Variables used
- Syntax
wp6_high.data %<>% mutate_at(vars(int_pro.vars, ext_pro.vars, adhd_pro.vars), .funs = list(tmp_perc = ~xtile(., n = 100))) %>% rename_at(vars(contains("tmp_perc")), list( ~gsubfn("pro|_tmp_perc", list("pro" = "pc", "_tmp_perc" = ""), .)))
- Name
- adhd_pc_9
- Harmonisation status
- Completed
- Description
- This code first identifies all repeated measures variable with the correct prefix and then creates percentiles using the "xtile" function
- Variables used
- Syntax
wp6_high.data %<>% mutate_at(vars(int_pro.vars, ext_pro.vars, adhd_pro.vars), .funs = list(tmp_perc = ~xtile(., n = 100))) %>% rename_at(vars(contains("tmp_perc")), list( ~gsubfn("pro|_tmp_perc", list("pro" = "pc", "_tmp_perc" = ""), .)))
- Name
- adhd_pc_10
- Harmonisation status
- Completed
- Description
- This code first identifies all repeated measures variable with the correct prefix and then creates percentiles using the "xtile" function
- Variables used
- Syntax
wp6_high.data %<>% mutate_at(vars(int_pro.vars, ext_pro.vars, adhd_pro.vars), .funs = list(tmp_perc = ~xtile(., n = 100))) %>% rename_at(vars(contains("tmp_perc")), list( ~gsubfn("pro|_tmp_perc", list("pro" = "pc", "_tmp_perc" = ""), .)))
- Name
- adhd_pc_11
- Harmonisation status
- Completed
- Description
- This code first identifies all repeated measures variable with the correct prefix and then creates percentiles using the "xtile" function
- Variables used
- Syntax
wp6_high.data %<>% mutate_at(vars(int_pro.vars, ext_pro.vars, adhd_pro.vars), .funs = list(tmp_perc = ~xtile(., n = 100))) %>% rename_at(vars(contains("tmp_perc")), list( ~gsubfn("pro|_tmp_perc", list("pro" = "pc", "_tmp_perc" = ""), .)))
- Name
- adhd_pc_12
- Harmonisation status
- Completed
- Description
- This code first identifies all repeated measures variable with the correct prefix and then creates percentiles using the "xtile" function
- Variables used
- Syntax
wp6_high.data %<>% mutate_at(vars(int_pro.vars, ext_pro.vars, adhd_pro.vars), .funs = list(tmp_perc = ~xtile(., n = 100))) %>% rename_at(vars(contains("tmp_perc")), list( ~gsubfn("pro|_tmp_perc", list("pro" = "pc", "_tmp_perc" = ""), .)))
- Name
- adhd_pc_13
- Harmonisation status
- Completed
- Description
- This code first identifies all repeated measures variable with the correct prefix and then creates percentiles using the "xtile" function
- Variables used
- Syntax
wp6_high.data %<>% mutate_at(vars(int_pro.vars, ext_pro.vars, adhd_pro.vars), .funs = list(tmp_perc = ~xtile(., n = 100))) %>% rename_at(vars(contains("tmp_perc")), list( ~gsubfn("pro|_tmp_perc", list("pro" = "pc", "_tmp_perc" = ""), .)))
- Name
- adhd_pc_14
- Harmonisation status
- Completed
- Description
- This code first identifies all repeated measures variable with the correct prefix and then creates percentiles using the "xtile" function
- Variables used
- Syntax
wp6_high.data %<>% mutate_at(vars(int_pro.vars, ext_pro.vars, adhd_pro.vars), .funs = list(tmp_perc = ~xtile(., n = 100))) %>% rename_at(vars(contains("tmp_perc")), list( ~gsubfn("pro|_tmp_perc", list("pro" = "pc", "_tmp_perc" = ""), .)))
- Name
- adhd_pc_15
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None
- Name
- adhd_pc_16
- Harmonisation status
- Completed
- Description
- This code first identifies all repeated measures variable with the correct prefix and then creates percentiles using the "xtile" function
- Variables used
- Syntax
wp6_high.data %<>% mutate_at(vars(int_pro.vars, ext_pro.vars, adhd_pro.vars), .funs = list(tmp_perc = ~xtile(., n = 100))) %>% rename_at(vars(contains("tmp_perc")), list( ~gsubfn("pro|_tmp_perc", list("pro" = "pc", "_tmp_perc" = ""), .)))
- Name
- adhd_pc_17
- Harmonisation status
- Completed
- Description
- This code first identifies all repeated measures variable with the correct prefix and then creates percentiles using the "xtile" function
- Variables used
- Syntax
wp6_high.data %<>% mutate_at(vars(int_pro.vars, ext_pro.vars, adhd_pro.vars), .funs = list(tmp_perc = ~xtile(., n = 100))) %>% rename_at(vars(contains("tmp_perc")), list( ~gsubfn("pro|_tmp_perc", list("pro" = "pc", "_tmp_perc" = ""), .)))
- Name
- adhd_pc_18
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None
- Name
- adhd_pc_19
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None
- Name
- adhd_pc_20
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None
- Name
- adhd_pc_21
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None