Here’s some general information about aquanes.report.
Field | Values |
---|---|
Package | aquanes.report |
Type | Package |
Title | Automated Reporting Tool for Water Suppliers |
Version | 0.5.0 |
Authors@R | c(person("Michael", "Rustler", , "michael.rustler@kompetenz-wasser.de", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-0647-7726")), person("Kompetenzzentrum Wasser Berlin gGmbH", role = c("cph")), person("AquaNES", role = c("fnd"))) |
Description | Collects, aggregates and visualises operational and analytical data from water suppliers (including a standardised reporting document). |
Depends | R (>= 3.3) |
Imports | plyr (>= 1.8.4), RMySQL (>= 0.10.9), dplyr (>= 0.7.1), dbplyr (>= 1.0.0), readxl (>= 1.0.0), readr (>= 1.1.0), tidyr (>= 0.6.1), ggplot2 (>= 2.2.1), ggforce (>= 0.1.1), xml2 (>= 1.1.0), rvest (>= 0.3.2), shiny (>= 1.0.0), shinythemes (>= 1.1.1), dygraphs (>= 1.1.1.4), digest (>= 0.6.11), leaflet (>= 1.1.0), rmarkdown (>= 1.3), xts (>= 0.9-7), lubridate (>= 1.6.0), fasttime (>= 1.0-2), data.table (>= 1.10.4), stringr (>= 1.2.0), fst (>= 0.8), magrittr (>= 1.5), janitor (>= 0.3.0) |
Suggests | devtools (>= 1.13.0), knitr, covr, testthat |
License | MIT + file LICENSE |
Encoding | UTF-8 |
LazyData | true |
RoxygenNote | 6.1.1 |
URL | https://github.com/kwb-r/aquanes.report |
BugReports | https://github.com/kwb-r/aquanes.report/issues |
VignetteBuilder | knitr |
RemoteType | github |
RemoteHost | api.github.com |
RemoteRepo | aquanes.report |
RemoteUsername | KWB-R |
RemoteRef | HEAD |
RemoteSha | 7df99ab71b6fbdf05a7b64024d8f7555361e3903 |
GithubRepo | aquanes.report |
GithubUsername | KWB-R |
GithubRef | HEAD |
GithubSHA1 | 7df99ab71b6fbdf05a7b64024d8f7555361e3903 |
NeedsCompilation | no |
Packaged | 2021-05-28 11:11:06 UTC; mrustl |
Author | Michael Rustler [aut, cre] (<https://orcid.org/0000-0003-0647-7726>), Kompetenzzentrum Wasser Berlin gGmbH [cph], AquaNES [fnd] |
Maintainer | Michael Rustler <michael.rustler@kompetenz-wasser.de> |
Built | R 4.0.4; ; 2021-05-28 11:11:09 UTC; windows |
This section analyzes the recursive package dependencies of aquanes.report.
Nodes are packages. Edges point in the direction of dependence.
node | outDegree | inDegree | numRecursiveDeps | numRecursiveRevDeps | betweenness | pageRank |
---|
node | outDegree | inDegree | numRecursiveDeps | numRecursiveRevDeps | betweenness | pageRank |
---|---|---|---|---|---|---|
DBI | 1 | 2 | 5 | 3 | 0.000 | 0.006 |
MASS | 5 | 2 | 5 | 5 | 1.862 | 0.004 |
Matrix | 6 | 1 | 7 | 6 | 3.000 | 0.004 |
R6 | 0 | 11 | 0 | 21 | 0.000 | 0.010 |
RColorBrewer | 0 | 2 | 0 | 6 | 0.000 | 0.004 |
RMySQL | 2 | 1 | 6 | 1 | 0.591 | 0.004 |
Rcpp | 2 | 10 | 5 | 15 | 23.500 | 0.018 |
aquanes.report | 25 | 0 | 116 | 0 | 0.000 | 0.004 |
askpass | 1 | 1 | 1 | 4 | 4.000 | 0.007 |
assertthat | 1 | 1 | 1 | 2 | 1.000 | 0.004 |
base64enc | 0 | 2 | 0 | 12 | 0.000 | 0.006 |
blob | 3 | 1 | 9 | 2 | 0.000 | 0.004 |
bslib | 7 | 1 | 16 | 3 | 13.000 | 0.004 |
cachem | 2 | 1 | 3 | 3 | 0.000 | 0.004 |
cellranger | 2 | 1 | 19 | 2 | 2.000 | 0.005 |
cli | 2 | 2 | 6 | 15 | 0.833 | 0.004 |
clipr | 1 | 1 | 1 | 2 | 0.000 | 0.004 |
colorspace | 4 | 1 | 5 | 7 | 2.833 | 0.005 |
commonmark | 0 | 1 | 0 | 3 | 0.000 | 0.004 |
crayon | 3 | 3 | 5 | 17 | 7.483 | 0.005 |
crosstalk | 4 | 1 | 12 | 2 | 3.000 | 0.004 |
curl | 0 | 1 | 0 | 3 | 0.000 | 0.004 |
data.table | 1 | 1 | 5 | 1 | 0.091 | 0.004 |
dbplyr | 17 | 1 | 28 | 1 | 5.209 | 0.004 |
digest | 1 | 4 | 1 | 15 | 0.236 | 0.006 |
dplyr | 13 | 4 | 22 | 4 | 21.857 | 0.005 |
dygraphs | 5 | 1 | 17 | 1 | 1.660 | 0.004 |
ellipsis | 1 | 9 | 2 | 21 | 0.000 | 0.010 |
evaluate | 1 | 2 | 5 | 3 | 0.000 | 0.004 |
fansi | 0 | 2 | 0 | 15 | 0.000 | 0.005 |
farver | 0 | 2 | 0 | 7 | 0.000 | 0.005 |
fastmap | 0 | 2 | 0 | 4 | 0.000 | 0.006 |
fasttime | 0 | 1 | 0 | 1 | 0.000 | 0.004 |
fs | 1 | 1 | 5 | 5 | 3.000 | 0.004 |
fst | 1 | 1 | 6 | 1 | 0.200 | 0.004 |
generics | 1 | 2 | 5 | 6 | 0.000 | 0.005 |
ggforce | 14 | 1 | 43 | 1 | 7.353 | 0.004 |
ggplot2 | 13 | 3 | 37 | 4 | 73.062 | 0.005 |
glue | 1 | 10 | 5 | 29 | 19.700 | 0.016 |
grDevices | 0 | 18 | 0 | 82 | 0.000 | 0.066 |
graphics | 1 | 13 | 1 | 76 | 2.417 | 0.032 |
grid | 2 | 8 | 2 | 17 | 3.375 | 0.013 |
gridExtra | 5 | 1 | 5 | 3 | 2.833 | 0.005 |
gtable | 1 | 3 | 3 | 6 | 0.000 | 0.005 |
highr | 1 | 1 | 6 | 3 | 0.000 | 0.004 |
hms | 6 | 1 | 11 | 2 | 1.625 | 0.004 |
htmltools | 5 | 9 | 5 | 11 | 32.283 | 0.012 |
htmlwidgets | 4 | 2 | 11 | 3 | 4.083 | 0.005 |
httpuv | 5 | 1 | 11 | 3 | 0.667 | 0.004 |
httr | 5 | 1 | 13 | 2 | 11.500 | 0.004 |
This section analyzes the dependency relationships between functions within aquanes.report.
Nodes are functions. Edges point in the direction of dependence.
node | type | isExported | coveredLines | totalLines | coverageRatio | meanCoveragePerLine | filename | betweenness | outDegree | inDegree | numRecursiveDeps | numRecursiveRevDeps | pageRank |
---|
node | type | isExported | coveredLines | totalLines | coverageRatio | meanCoveragePerLine | filename | betweenness | outDegree | inDegree | numRecursiveDeps | numRecursiveRevDeps | pageRank |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
add_label | function | true | 11 | 12 | 0.917 | 2.000 | R/import_data_basel.R | 0.000 | 0 | 2 | 0 | 3 | 0.020 |
add_parameter_metadata | function | true | 3 | 3 | 1.000 | 3.333 | R/import_data_basel.R | 0.000 | 0 | 2 | 0 | 3 | 0.020 |
add_site_metadata | function | true | 15 | 15 | 1.000 | 13.600 | R/import_data_basel.R | 0.000 | 0 | 2 | 0 | 3 | 0.020 |
aggregate_export_fst_berlin_s | function | true | 0 | 25 | 0.000 | 0.000 | R/aggregate_export_fst.R | 0.000 | 5 | 0 | 10 | 0 | 0.013 |
aggregate_export_fst_berlin_t | function | true | 6 | 25 | 0.240 | 0.240 | R/aggregate_export_fst.R | 0.000 | 5 | 0 | 9 | 0 | 0.013 |
calculate_operational_parameters | function | true | 3 | 7 | 0.429 | 1.286 | R/calculate_operational_parameters_haridwar.R | 0.000 | 0 | 2 | 0 | 4 | 0.037 |
calculate_operational_parameters_berlin_s | function | true | 1 | 6 | 0.167 | 0.167 | R/calculate_operational_parameters_berlin_s.R | 1.000 | 1 | 1 | 1 | 1 | 0.015 |
calculate_operational_parameters_berlin_t | function | true | 1 | 6 | 0.167 | 0.167 | R/calculate_operational_parameters_berlin_t.R | 1.000 | 1 | 1 | 1 | 1 | 0.015 |
calenderweek_from_dates | function | true | 2 | 2 | 1.000 | 1.000 | R/get_monthly_data_from_calenderweeks.R | 0.000 | 0 | 1 | 0 | 2 | 0.025 |
change_timezone | function | true | 0 | 11 | 0.000 | 0.000 | R/timezone.R | 1.500 | 1 | 1 | 1 | 3 | 0.020 |
check_thresholds | function | true | 7 | 22 | 0.318 | 0.318 | R/check_thresholds.R | 0.000 | 0 | 0 | 0 | 0 | 0.013 |
create_monthly_selection | function | true | 7 | 7 | 1.000 | 1.000 | R/create_monthly_selection.R | 0.000 | 0 | 0 | 0 | 0 | 0.013 |
create_report_batch | function | true | 0 | 32 | 0.000 | 0.000 | R/report_batch.R | 0.000 | 1 | 0 | 1 | 0 | 0.013 |
create_wedeco_metafile | function | true | 1 | 9 | 0.111 | 0.111 | R/import_operation_berlin_s.R | 0.000 | 0 | 0 | 0 | 0 | 0.013 |
dygraph_add_limits | function | true | 1 | 4 | 0.250 | 0.250 | R/dygraph_add_limits.R | 0.000 | 0 | 0 | 0 | 0 | 0.013 |
fill_datetime | function | false | 1 | 15 | 0.067 | 0.067 | R/import_analytics_haridwar.R | 0.000 | 0 | 1 | 0 | 3 | 0.020 |
get_monthly_data_from_calendarweeks | function | true | 0 | 3 | 0.000 | 0.000 | R/get_monthly_data_from_calenderweeks.R | 1.000 | 1 | 1 | 1 | 1 | 0.015 |
get_monthly_periods | function | true | 5 | 5 | 1.000 | 3.000 | R/get_monthly_periods.R | 2.000 | 1 | 2 | 1 | 2 | 0.017 |
get_rawfilespaths_for_month | function | true | 16 | 18 | 0.889 | 1.778 | R/get_monthly_periods.R | 0.000 | 0 | 1 | 0 | 1 | 0.015 |
get_thresholds | function | true | 1 | 1 | 1.000 | 2.000 | R/get_thresholds.R | 0.000 | 0 | 0 | 0 | 0 | 0.013 |
get_valid_timezones | function | true | 0 | 3 | 0.000 | 0.000 | R/timezone.R | 0.000 | 0 | 0 | 0 | 0 | 0.013 |
group_datetime | function | true | 7 | 21 | 0.333 | 0.333 | R/group_datetime.R | 0.000 | 0 | 2 | 0 | 2 | 0.017 |
group_fst_by_pattern | function | false | 5 | 9 | 0.556 | 1.111 | R/merge_and_export_fst.R | 1.000 | 1 | 1 | 1 | 1 | 0.023 |
import_analytics_basel | function | true | 4 | 17 | 0.235 | 0.471 | R/import_data_basel.R | 5.000 | 2 | 1 | 3 | 2 | 0.016 |
import_analytics_meta_basel | function | true | 4 | 5 | 0.800 | 0.800 | R/import_data_basel.R | 4.500 | 4 | 1 | 7 | 1 | 0.018 |
import_data_basel | function | true | 1 | 7 | 0.143 | 0.143 | R/import_data_basel.R | 0.000 | 2 | 0 | 10 | 0 | 0.013 |
import_data_berlin_s | function | true | 0 | 5 | 0.000 | 0.000 | R/import_operation_berlin_s.R | 2.000 | 2 | 1 | 2 | 1 | 0.015 |
import_data_berlin_t | function | true | 1 | 5 | 0.200 | 0.400 | R/import_operation_berlin_t.R | 2.000 | 2 | 1 | 2 | 1 | 0.015 |
import_data_haridwar | function | true | 3 | 31 | 0.097 | 0.097 | R/import_data_haridwar.R | 0.000 | 2 | 0 | 8 | 0 | 0.013 |
import_lab_data_berlin_t | function | true | 1 | 7 | 0.143 | 0.143 | R/import_operation_berlin_t.R | 0.000 | 0 | 0 | 0 | 0 | 0.013 |
import_operation | function | true | 1 | 7 | 0.143 | 0.143 | R/import_operation_haridwar.R | 1.000 | 1 | 1 | 1 | 1 | 0.018 |
import_operation_basel | function | true | 3 | 14 | 0.214 | 0.643 | R/import_data_basel.R | 3.000 | 1 | 1 | 2 | 2 | 0.016 |
import_operation_meta_basel | function | true | 6 | 12 | 0.500 | 1.000 | R/import_data_basel.R | 3.500 | 4 | 1 | 6 | 1 | 0.018 |
import_sheet | function | false | 1 | 24 | 0.042 | 0.042 | R/import_analytics_haridwar.R | 8.000 | 3 | 1 | 4 | 2 | 0.028 |
import_sheets | function | true | 1 | 15 | 0.067 | 0.067 | R/import_analytics_haridwar.R | 5.000 | 1 | 1 | 5 | 1 | 0.018 |
is_POSIXct | function | false | 0 | 1 | 0.000 | 0.000 | R/timezone.R | 0.000 | 0 | 2 | 0 | 10 | 0.065 |
last_day | function | false | 1 | 1 | 1.000 | 4.000 | R/get_monthly_periods.R | 0.000 | 0 | 1 | 0 | 3 | 0.027 |
load_fst_data | function | true | 3 | 9 | 0.333 | 0.333 | R/read_fst.R | 0.000 | 1 | 0 | 1 | 0 | 0.013 |
merge_and_export_fst | function | true | 5 | 21 | 0.238 | 0.238 | R/merge_and_export_fst.R | 0.000 | 1 | 0 | 2 | 0 | 0.013 |
multiSubstitute | function | false | 1 | 12 | 0.083 | 0.083 | R/import_data_basel.R | 0.000 | 0 | 1 | 0 | 3 | 0.019 |
plot_analytics | function | true | 1 | 18 | 0.056 | 0.056 | R/import_analytics_haridwar.R | 0.000 | 0 | 0 | 0 | 0 | 0.013 |
plot_calculated_operational_timeseries | function | true | 1 | 7 | 0.143 | 0.143 | R/calculate_operational_parameters_haridwar.R | 0.000 | 0 | 0 | 0 | 0 | 0.013 |
read_fst | function | true | 1 | 3 | 0.333 | 0.667 | R/read_fst.R | 0.000 | 0 | 2 | 0 | 3 | 0.043 |
read_pentair_data | function | true | 7 | 15 | 0.467 | 1.200 | R/import_operation_berlin_t.R | 0.000 | 0 | 1 | 0 | 2 | 0.019 |
read_wedeco_data | function | true | 0 | 23 | 0.000 | 0.000 | R/import_operation_berlin_s.R | 0.000 | 0 | 1 | 0 | 2 | 0.019 |
remove_duplicates | function | true | 1 | 10 | 0.100 | 0.100 | R/remove_duplicates.R | 0.000 | 0 | 2 | 0 | 4 | 0.025 |
report_config_template | function | true | 0 | 13 | 0.000 | 0.000 | R/report_configuration.R | 0.000 | 0 | 0 | 0 | 0 | 0.013 |
report_config_to_txt | function | true | 0 | 7 | 0.000 | 0.000 | R/report_configuration.R | 0.000 | 0 | 0 | 0 | 0 | 0.013 |
report_txt_to_config | function | true | 0 | 9 | 0.000 | 0.000 | R/report_configuration.R | 0.000 | 0 | 0 | 0 | 0 | 0.013 |
run_app | function | true | 0 | 22 | 0.000 | 0.000 | R/run_shiny.R | 0.000 | 0 | 0 | 0 | 0 | 0.013 |
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