Dear Bill, It seems like you are looking at the wrong help files. The code in the tutorial uses the package::function() syntax. So knitr::kable() translates into use the function kable() from the knitr package. The help file you are looking for is ?kable (when knitr is loaded) or ?knitr::kable (when knitr is not loaded).
Best regards, ir. Thierry Onkelinx Statisticus / Statistician Vlaamse Overheid / Government of Flanders INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND FOREST Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance thierry.onkel...@inbo.be Havenlaan 88 bus 73, 1000 Brussel www.inbo.be /////////////////////////////////////////////////////////////////////////////////////////// To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey /////////////////////////////////////////////////////////////////////////////////////////// 2018-07-18 18:33 GMT+02:00 Bill Poling <bill.pol...@zelis.com>: > Hi, > I worked through this excellent tutorial: > #Elegant regression results tables and plots in R: the finalfit package > https://www.r-bloggers.com/elegant-regression-results-tables-and-plots-in-r-the-finalfit-package/ > > > > Now I am applying it to my own data. > > In the tutorial there is mention of: > > # Tables can be knitted to PDF, Word or html documents. We do this in > # RStudio from a .Rmd document. Example chunk: > # ```{r, echo = FALSE, results='asis'} > # knitr::kable(example_table, row.names=FALSE, > # align=c("l", "l", "r", "r", "r", "r")) > # ``` > > I am having a difficult time understanding how this works? > > I have read through the help: > > ?knitr > #"This function takes an input file, extracts the R code in it according to a > list of patterns, evaluates the code and writes the output in another file. > #It can also tangle R source code from the input document (purl() is a > wrapper to knit(..., tangle = TRUE)). > #The knitr.purl.inline option can be used to also tangle the code of inline > expressions (disabled by default)." > > install.packages("knitr") > library(knitr) > ?knit > ?stitch > install.packages("stitch")#package 'stitch' is not available (for R version > 3.5.1) > ?spin > install.packages("spin") #package 'spin' is not available (for R version > 3.5.1)Warning in install.packages : Perhaps you meant 'SPIn' ? > > I have also looked at the github and knitr author's links > > https://github.com/yihui/knitr > > https://yihui.name/knitr/demo/stitch/ > > https://github.com/yihui/knitr/blob/master/inst/examples/knitr-spin.Rmd > > > If I understand this correctly I have to have a template already in place as > the input object, is that correct? How would I construct this it that is so? > > I also tried writing out directly to pdf and png with no success. > > #pdf("c:/WHP/Appeals/OutputPDFs/EX&DE V1.pdf") > #png("c:/WHP/Appeals/OutputPDFs/EX&DE V1.png") > #opts_chunk$set(fig.path = "c:/WHP/Appeals/OutputPDFs/EX&DE V1.pdf") <--I > don't even understand what this does, poached it from one of the google sites > I have been reviewing and tried to make it work? > > #This is the script I would like the output placed in PDF > explanatory = c("claimStatusId", "AgeCat", "PatientGender", "PayorID") > dependent = "AppealOverturned" # Appeals Status > appdf1DT2 %>% > summary_factorlist(dependent, explanatory, p=TRUE, add_dependent_label=TRUE) > > #dev.off() > > > str(appdf1DT2) > # Classes 'data.table' and 'data.frame': 3983 obs. of 21 variables: > # $ ClaimServiceID : Factor w/ 3983 levels "51318639","51318640",..: 1 2 > 4 3 5 12 6 8 7 9 ... > # $ LineNumber : Factor w/ 140 levels "1","2","3","4",..: 1 2 4 3 5 7 1 > 3 2 4 ... > # $ claimStatusId : Factor w/ 2 levels "2","3": 2 2 2 2 2 1 1 1 1 1 ... > # $ PatientGender : Factor w/ 3 levels "F","M","UNK": 2 2 2 2 2 1 1 1 1 1 > ... > # $ PayorID : Factor w/ 19 levels "000","234","239",..: 1 1 1 1 1 1 > 1 1 1 1 ... > # $ AppealID : Factor w/ 512 levels "79765","116998",..: 1 1 1 1 1 2 > 2 2 2 2 ... > # $ ZipCode : Factor w/ 223 levels "2155","3037",..: 72 72 72 72 72 > 102 102 102 102 102 ... > # $ EditID : Factor w/ 21 levels "","0","001X",..: 2 12 8 12 8 8 2 > 8 12 8 ... > # $ CurrentBilled : num 14394 14394 14394 14394 14394 ... > # $ ClaimLineSavings : num 0 0 0 0 0 ... > # $ StatusChangeMo : Factor w/ 7 levels "2018-01","2018-02",..: 4 4 4 4 4 4 > 4 4 4 4 ... > # $ Grouping : Factor w/ 9 levels "","Agencies",..: 4 4 4 4 4 4 4 4 4 > 4 ... > # $ AppealOverturned : Factor w/ 2 levels "1","2": 2 2 2 2 2 1 1 1 1 1 ... > # $ PrimaryDX : Factor w/ 360 levels "","8442","912",..: 2 2 2 2 2 171 > 171 171 171 171 ... > # $ RevCodeCats : Factor w/ 41 levels "AdminStorProcBlProd",..: 2 2 18 2 > 18 18 2 2 2 18 ... > # $ AgeCat : Factor w/ 9 levels "[0-5]","[11-20]",..: 4 4 4 4 4 8 8 > 8 8 8 ... > # $ ClaimLevelSavings: num 0 0 0 0 0 ... > # - attr(*, ".internal.selfref")=<externalptr> > > head(appdf1DT2) > ClaimServiceID LineNumber claimStatusId PatientGender PayorID ProviderID > AppealID ZipCode TIN EditID > 1: 51318639 1 3 M 000 149385 > 79765 33904 0 > 2: 51318640 2 3 M 000 149385 > 79765 33904 022 > 3: 51318642 4 3 M 000 149385 > 79765 33904 00504 > 4: 51318641 3 3 M 000 149385 > 79765 33904 022 > 5: 51318643 5 3 M 000 149385 > 79765 33904 00504 > 6: 85833537 7 2 F 000 3240182 > 116998 46635 00504 > CurrentBilled ClaimLineSavings StatusChangeMo > Grouping AppealOverturned PrimaryDX RevCodeCats > 1: 14394.08 0 2018-04 Ambulatory Health Care > Facilities 2 8442 AmbSurgCare > 2: 14394.08 0 2018-04 Ambulatory Health Care > Facilities 2 8442 AmbSurgCare > 3: 14394.08 0 2018-04 Ambulatory Health Care > Facilities 2 8442 MedSurgSuppandDevs > 4: 14394.08 0 2018-04 Ambulatory Health Care > Facilities 2 8442 AmbSurgCare > 5: 14394.08 0 2018-04 Ambulatory Health Care > Facilities 2 8442 MedSurgSuppandDevs > 6: 23472.92 0 2018-04 Ambulatory Health Care > Facilities 1 M1712 MedSurgSuppandDevs > AgeCat ClaimLevelSavings > 1: [31-40] 0.00 > 2: [31-40] 0.00 > 3: [31-40] 0.00 > 4: [31-40] 0.00 > 5: [31-40] 0.00 > 6: [61-70] 296.25 > > > Maybe I am in over my head in this pursuit given my novice status with R, > however, any direction would be appreciated. > > Thank you. > > WHP > > Confidentiality Notice This message is sent from Zelis. ...{{dropped:15}} > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
