R7.R:

# making table data sets
library(dplyr)
library(tidyr)

R/R7.R:

.r7_pvt_class <- c("R7_private", "R7")
#' @importFrom rlang env_bind
#' @importFrom rlang :=

brudis-r7/hping: Utilities to Work with 'hping' Output

: http://github.com/brudis-r7/hping
BugReports: https://github.com/brudis-r7/hping/issues
License: MIT

R/r7-api-key.R:

#' Get or set RAPID7_OPENDATA_API_KEY value
#' The API wrapper functions

brudis-r7/logentries: logentries title goes here

Package: logentries
Type: Package
Title: logentries title goes here

ddu-r7/utilsDdu: An assortment of frequently used functions

Package: utilsDigeng
Type: Package
Title: An assortment of frequently used

brudis-r7/mtblr: Tools to work with 'mtbl' files

Package: mtblr
Type: Package
Title: Tools to work with 'mtbl' files

tests/testthat/test-R7.R:

# context("r7")
# test_that("R7Class", {
#   MyClass <- R7Class(

R7_data: R7 Artificial Dataset

R: R7 Artificial Dataset
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

CD_FINNGEN: Finngen r7 Crohn‘s disease (K11_CROHNS)

R: Finngen r7 Crohn‘s disease (K11_CROHNS)
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

CD_FINNGEN: Finngen r7 Crohn‘s disease (K11_CROHNS)

R: Finngen r7 Crohn‘s disease (K11_CROHNS)
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

ropendata: Query and Download 'Rapid7' 'Cybersecurity' Data Sets

data set authorized to a free, registered account.
URL: https://github.com/brudis-r7/ropendata
BugReports: https

inst/doc/royston.R:

<- round(7*365.25)  # 7 years or 84 months
r7 <- rotterdam2
r7$recur <- ifelse(r7$rtime > y7, 0, r7$recur)

reads/server.R:

")
r7 <- ena_search(q1,  "read_run", limit=1e5, fields= Columns, drop=FALSE)
validate

inst/doc/royston.Rmd:

of the paper.
```{r table2, echo=TRUE}
y7 <- round(7*365.25) # 7 years or 84 months

vignettes/royston.Rmd:

of the paper.
```{r table2, echo=TRUE}
y7 <- round(7*365.25) # 7 years or 84 months

analyses/results/read_mcmc_runs.R:

subtypes: Model 2
#PARALLEL: Longer runs 10,000 iterations/chain
m2.1 <- createMcmcSamplerList(list(r1, r2, r3, r4, r6, r7, r9

tests/testthat/test-S3-methods.R:

%>% step_downsample(class)
r5 <- r1 %>% step_nearmiss(class)
r6 <- r1 %>% step_rose(class)

inst/tests/tests.R:

dimension(R6)
R7 <- EuclRandMatrix(Map = L4, ncol = 2, Domain = Reals(), dimension = 1)
dimension(R7)