[{"path":"/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Andreas Gammelgaard Damsbo. Author, maintainer.","code":""},{"path":"/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Damsbo (2022). stRoke: Tools work clinical stroke research. R package version 0.22.9.5.","code":"@Manual{, title = {stRoke: Tools for work in clinical stroke research}, author = {Andreas Gammelgaard Damsbo}, year = {2022}, note = {R package version 0.22.9.5}, }"},{"path":"/index.html","id":"stroke-package-","dir":"","previous_headings":"","what":"Tools for work in clinical stroke research","title":"Tools for work in clinical stroke research","text":"package contains tools used (Andreas) research work ENIGMA project. Please use package grab bits functions. Mind licensing.","code":""},{"path":"/index.html","id":"a-few-notes","dir":"","previous_headings":"","what":"A few notes","title":"Tools for work in clinical stroke research","text":"function generic_stroke()can used data(talos) custom data set illustrate classic analysis mRS outcome stroke trials.","code":""},{"path":"/index.html","id":"github","dir":"","previous_headings":"","what":"GitHub","title":"Tools for work in clinical stroke research","text":"package shared GitHub, welcome contribute opening issue pull request.","code":""},{"path":"/reference/age_calc.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculating age from date of birth — age_calc","title":"Calculating age from date of birth — age_calc","text":"age calculations. Vectorised.","code":""},{"path":"/reference/age_calc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculating age from date of birth — age_calc","text":"","code":"age_calc(dob, enddate = Sys.Date(), units = \"years\", precise = TRUE)"},{"path":"/reference/age_calc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculating age from date of birth — age_calc","text":"dob Date birth. Data format follows standard POSIX layout. Format yyyy-mm-dd. enddate Date calculate age . Format yyyy-mm-dd. units Default \"years\". Can changed \"days\". precise Default TRUE. Flag set whether include calculations spring years. matter using units = \"days\".","code":""},{"path":"/reference/age_calc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculating age from date of birth — age_calc","text":"Vector age","code":""},{"path":"/reference/age_calc.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculating age from date of birth — age_calc","text":"","code":"# Kim Larsen (cpr is known from album) dob<-as.Date(\"1945-10-23\") date<-as.Date(\"2018-09-30\") trunc(age_calc(dob,date)) #> [1] 72"},{"path":"/reference/ci_plot.html","id":null,"dir":"Reference","previous_headings":"","what":"Confidence interval plot with point estimate — ci_plot","title":"Confidence interval plot with point estimate — ci_plot","text":"Horizontal forest plot point estimate confidence intervals. Includes dichotomous olr, depending number levels \"x\". Title axis labels can added ggplot afterwards.","code":""},{"path":"/reference/ci_plot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Confidence interval plot with point estimate — ci_plot","text":"","code":"ci_plot(ds, x, y, vars, dec = 3, lbls = NULL, title = NULL)"},{"path":"/reference/ci_plot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Confidence interval plot with point estimate — ci_plot","text":"ds data set x text string main exposure variable y text string outcome variable vars variables multivariate analysis. dec Decimals labels lbls Labels variable names title Plot title. Can specified later.","code":""},{"path":"/reference/ci_plot.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Confidence interval plot with point estimate — ci_plot","text":"ggplot element","code":""},{"path":"/reference/ci_plot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Confidence interval plot with point estimate — ci_plot","text":"","code":"data(talos) talos[,\"mrs_1\"]<-factor(talos[,\"mrs_1\"],ordered=TRUE) talos$bin <- factor(sample(1:2, size = nrow(talos), replace = TRUE)) ci_plot(ds = talos, x = \"rtreat\", y = \"mrs_1\", vars = c(\"hypertension\",\"diabetes\")) #> Waiting for profiling to be done..."},{"path":"/reference/cpr_check.html","id":null,"dir":"Reference","previous_headings":"","what":"CPR check — cpr_check","title":"CPR check — cpr_check","text":"Checking validity cpr number. Vectorised.","code":""},{"path":"/reference/cpr_check.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CPR check — cpr_check","text":"","code":"cpr_check(cpr)"},{"path":"/reference/cpr_check.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CPR check — cpr_check","text":"cpr cpr-numbers ddmmyy\"-.\"xxxx ddmmyyxxxx. Also mixed formatting. Vector data frame column.","code":""},{"path":"/reference/cpr_check.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"CPR check — cpr_check","text":"Logical vector cpr validity","code":""},{"path":"/reference/cpr_check.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"CPR check — cpr_check","text":"","code":"fsd<-c(\"2310450637\", \"010190-2000\", \"010115-4000\",\"300450-1030\",\"010150-4021\") cpr_check(\"2310450637\") #> OBS: according to new description, not all valid CPR numbers apply to this modulus 11 rule. #> Please refer to: https://cpr.dk/media/12066/personnummeret-i-cpr.pdf #> [1] TRUE cpr_check(fsd) #> OBS: according to new description, not all valid CPR numbers apply to this modulus 11 rule. #> Please refer to: https://cpr.dk/media/12066/personnummeret-i-cpr.pdf #> [1] TRUE FALSE FALSE FALSE FALSE all(cpr_check(fsd)) #> OBS: according to new description, not all valid CPR numbers apply to this modulus 11 rule. #> Please refer to: https://cpr.dk/media/12066/personnummeret-i-cpr.pdf #> [1] FALSE"},{"path":"/reference/cpr_dob.html","id":null,"dir":"Reference","previous_headings":"","what":"Extracting date of birth from CPR — cpr_dob","title":"Extracting date of birth from CPR — cpr_dob","text":"easy calculation. handle cprs letters (interim cpr)","code":""},{"path":"/reference/cpr_dob.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extracting date of birth from CPR — cpr_dob","text":"","code":"cpr_dob(cpr)"},{"path":"/reference/cpr_dob.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extracting date of birth from CPR — cpr_dob","text":"cpr cpr-numbers ddmmyy\"-.\"xxxx ddmmyyxxxx. Also mixed formatting. Vector data frame column.","code":""},{"path":"/reference/cpr_dob.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Extracting date of birth from CPR — cpr_dob","text":"vector Date elements. Format yyyy-mm-dd","code":""},{"path":"/reference/cpr_dob.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Extracting date of birth from CPR — cpr_dob","text":"","code":"cpr_dob(\"231045-0637\") #> [1] \"1945-10-23\" fsd<-c(\"2310450637\", \"010190-2000\", \"010115-4000\",\"300450-1030\",\"010150-4021\") cpr_dob(fsd) #> [1] \"1945-10-23\" \"1990-01-01\" \"2015-01-01\" \"1950-04-30\" \"1950-01-01\""},{"path":"/reference/cpr_female.html","id":null,"dir":"Reference","previous_headings":"","what":"Determine female sex from CPR — cpr_female","title":"Determine female sex from CPR — cpr_female","text":"Just checking last number string equal .","code":""},{"path":"/reference/cpr_female.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Determine female sex from CPR — cpr_female","text":"","code":"cpr_female(cpr)"},{"path":"/reference/cpr_female.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Determine female sex from CPR — cpr_female","text":"cpr Vector. cpr-numbers ddmmyy\"-.\"xxxx ddmmyyxxxx. Also mixed formatting. Vector data frame column.","code":""},{"path":"/reference/cpr_female.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Determine female sex from CPR — cpr_female","text":"Logical vector","code":""},{"path":"/reference/cpr_female.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Determine female sex from CPR — cpr_female","text":"","code":"data(cprs) cpr_female(cprs[,1]) #> [1] FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE TRUE FALSE FALSE #> [13] TRUE TRUE FALSE FALSE TRUE FALSE TRUE FALSE TRUE FALSE FALSE TRUE #> [25] TRUE TRUE FALSE TRUE TRUE TRUE FALSE TRUE FALSE FALSE FALSE FALSE #> [37] TRUE TRUE FALSE FALSE FALSE FALSE TRUE TRUE FALSE FALSE TRUE TRUE #> [49] FALSE TRUE FALSE FALSE TRUE FALSE FALSE TRUE TRUE TRUE FALSE FALSE #> [61] FALSE FALSE FALSE FALSE TRUE TRUE TRUE FALSE TRUE TRUE TRUE FALSE #> [73] TRUE FALSE TRUE FALSE FALSE TRUE FALSE FALSE FALSE TRUE TRUE TRUE #> [85] TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE #> [97] TRUE FALSE TRUE FALSE TRUE FALSE TRUE FALSE TRUE TRUE FALSE TRUE #> [109] TRUE TRUE TRUE TRUE TRUE FALSE FALSE TRUE FALSE TRUE TRUE TRUE #> [121] TRUE TRUE FALSE TRUE FALSE TRUE TRUE TRUE FALSE FALSE TRUE FALSE #> [133] FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE FALSE TRUE FALSE FALSE #> [145] TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE TRUE FALSE TRUE FALSE #> [157] TRUE FALSE FALSE FALSE FALSE TRUE FALSE TRUE FALSE TRUE TRUE TRUE #> [169] TRUE TRUE FALSE FALSE FALSE TRUE FALSE FALSE TRUE TRUE TRUE TRUE #> [181] FALSE FALSE TRUE TRUE TRUE TRUE FALSE TRUE FALSE FALSE TRUE FALSE #> [193] TRUE TRUE TRUE TRUE FALSE FALSE FALSE TRUE"},{"path":"/reference/cprs.html","id":null,"dir":"Reference","previous_headings":"","what":"Data frame of 200 cpr numbers — cprs","title":"Data frame of 200 cpr numbers — cprs","text":"just repeated sample 8 synthesized cpr-numbers testing purposes.","code":""},{"path":"/reference/cprs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data frame of 200 cpr numbers — cprs","text":"","code":"data(cprs)"},{"path":"/reference/cprs.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data frame of 200 cpr numbers — cprs","text":"data frame 200 rows 1 variable: cpr Mixed format cpr-numbers, characters","code":""},{"path":"/reference/cprs.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Data frame of 200 cpr numbers — cprs","text":"https://da.wikipedia.org/wiki/231045-0637/","code":""},{"path":"/reference/generic_stroke.html","id":null,"dir":"Reference","previous_headings":"","what":"Generic stroke study outcome — generic_stroke","title":"Generic stroke study outcome — generic_stroke","text":"Includes table 1, grotta bars ordinal logistic regression plot. Please just use function illustration purposes. dos: modify grottaBar include function.","code":""},{"path":"/reference/generic_stroke.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generic stroke study outcome — generic_stroke","text":"","code":"generic_stroke(df, group, score, strata = NULL, variables = NULL)"},{"path":"/reference/generic_stroke.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generic stroke study outcome — generic_stroke","text":"df Data set data frame group Variable group score Outcome measure variable strata Optional variable stratify variables String variable names include adjusted OLR-analysis","code":""},{"path":"/reference/generic_stroke.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generic stroke study outcome — generic_stroke","text":"Returns list three elements","code":""},{"path":"/reference/generic_stroke.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generic stroke study outcome — generic_stroke","text":"","code":"data(talos) generic_stroke(talos, \"rtreat\", \"mrs_6\", variables = c(\"hypertension\",\"diabetes\",\"civil\")) #> Waiting for profiling to be done... #> $`Table 1` #>
#>