inTextSummaryTable packageThe package inTextSummaryTable contains functionalities
to create complex table of summary statistics or counts of
variables of interest.
This table can be formatted to static
These tables can be included into a rmarkdown document
which can be converted into html, docx and
pptx. Each table can be separately exported into a
text, docx or htmldocument.
We start the guidance to the functionalities of the
inTextSummaryTable, via loading the following packages.
library(inTextSummaryTable)
library(tools) # toTitleCaseThe input data for the creation of summary table should be a
data.frame, usually loaded from a SAS data
file (sas7bdat format). The label of the variables stored
in the SAS datasets is also used for the title or the
caption.
Note that the loadDataADaMSDTM function of the
clinUtils package can be used to import your study-specific
dataset(s) of interest into R.
For this vignette, ADaM datasets included in the
clinUtils package are used.
library(clinUtils)
# load example data
data(dataADaMCDISCP01)
dataAll <- dataADaMCDISCP01
labelVars <- attr(dataAll, "labelVars")
# dataAll contains a list
class(dataAll)## [1] "list" # ... of ADaM datasets
names(dataAll)## [1] "ADAE" "ADCM" "ADLBC" "ADPP" "ADQSADAS" "ADQSCIBC" "ADQSNPIX" "ADSL" "ADVS" # access a specific dataset
head(dataAll$ADSL, 1)## STUDYID USUBJID SUBJID SITEID SITEGR1 ARM TRT01P TRT01PN TRT01A TRT01AN TRTSDT TRTEDT TRTDUR AVGDD
## 1 CDISCPILOT01 01-701-1148 1148 701 701 Xanomeline High Dose Xanomeline High Dose 81 Xanomeline High Dose 81 2013年08月23日 2014年02月20日 182 77.1
## CUMDOSE AGE AGEGR1 AGEGR1N AGEU RACE RACEN SEX ETHNIC SAFFL ITTFL EFFFL COMP8FL COMP16FL COMP24FL DISCONFL DSRAEFL DTHFL BMIBL BMIBLGR1 HEIGHTBL
## 1 14040 57 <65 1 YEARS WHITE 1 M NOT HISPANIC OR LATINO Y Y Y Y Y Y 28.3 25-<30 175.3
## WEIGHTBL EDUCLVL DISONSDT DURDIS DURDSGR1 VISIT1DT RFSTDTC RFENDTC VISNUMEN RFENDT DCDECOD DCREASCD MMSETOT DATASET
## 1 87.1 15 2010年12月12日 32.1 >=12 2013年08月14日 2013年08月23日 2014年02月20日 12 2014年02月20日 COMPLETED Completed 21 ADSL # check label of a subset of the variable(s)
head(labelVars)## STUDYID SITEID USUBJID TRTA TRTAN AGE
## "Study Identifier" "Study Site Identifier" "Unique Subject Identifier" "Actual Treatment" "Actual Treatment (N)" "Age" # or for a specific variable:
labelVars["USUBJID"]## USUBJID
## "Unique Subject Identifier" # or:
getLabelVar(var = "USUBJID", labelVars = labelVars)## USUBJID
## "Unique Subject Identifier"A dedicated vignette on how to create your in-text table is available here).
If you are familiar with the creation of the tables, but you are wondering how to:
then the the dedicated vignette is available here), or accessible with
vignette("inTextSummaryTable-exportTables", "inTextSummaryTable")If you are familiar with the creation and export of the tables, and you want to know more on the functionalities less exposed to the users, you can check out the vignette for advanced users, which is available here) and with
vignette("inTextSummaryTable-advanced", "inTextSummaryTable")The inTextSummaryTable has also visualization
functionalities based on the computation of summary statistics. The
vignette for visualization is available at this) link or
through
vignette("inTextSummaryTable-visualization", "inTextSummaryTable")The inTextSummaryTable package allow the user to set
global options for the color schemes of tables and visualization. The
main advantage is that if you wish to change the default palettes, it is
possible to set your preferences only once at the beginning of the R
script or Rmd document.
The vignette is available via this) link or
vignette("inTextSummaryTable-aesthetics", "inTextSummaryTable")R version 4.5.1 (2025年06月13日) Platform: x86_64-pc-linux-gnu Running under: Ubuntu 24.04.2 LTS
Matrix products: default BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.26.so; LAPACK version 3.12.0
locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8
LC_COLLATE=C LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C LC_ADDRESS=C LC_TELEPHONE=C
LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
time zone: Etc/UTC tzcode source: system (glibc)
attached base packages: [1] tools stats graphics grDevices utils datasets methods base
other attached packages: [1] plyr_1.8.9 clinUtils_0.2.0 inTextSummaryTable_3.3.5 knitr_1.50
loaded via a namespace (and not attached): [1] sass_0.4.10
fontLiberation_0.1.0 xml2_1.4.0 stringi_1.8.7 hms_1.1.3
digest_0.6.37
[7] magrittr_2.0.3 evaluate_1.0.5 grid_4.5.1 RColorBrewer_1.1-3
flextable_0.9.10 fastmap_1.2.0
[13] jsonlite_2.0.0 ggrepel_0.9.6 zip_2.3.3 crosstalk_1.2.2
viridisLite_0.4.2 scales_1.4.0
[19] fontBitstreamVera_0.1.1 textshaping_1.0.1 jquerylib_0.1.4 cli_3.6.5
rlang_1.1.6 fontquiver_0.2.1
[25] cowplot_1.2.0 withr_3.0.2 cachem_1.1.0 yaml_2.3.10 gdtools_0.4.3
officer_0.6.10
[31] reshape2_1.4.4 uuid_1.2-1 ggplot2_4.0.0 DT_0.33 forcats_1.0.0
vctrs_0.6.5
[37] R6_2.6.1 lifecycle_1.0.4 stringr_1.5.1 htmlwidgets_1.6.4 ragg_1.4.0
pkgconfig_2.0.3
[43] bslib_0.9.0 pillar_1.11.0 gtable_0.3.6 data.table_1.17.8 glue_1.8.0
Rcpp_1.1.0
[49] systemfonts_1.2.3 haven_2.5.5 xfun_0.53 tibble_3.3.0 farver_2.1.2
htmltools_0.5.8.1
[55] labeling_0.4.3 rmarkdown_2.29 compiler_4.5.1 S7_0.2.0 askpass_1.2.1
openssl_2.3.3