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R-LearningStats rpm build for : openSUSE Leap 15. For other distributions click R-LearningStats.

Name : R-LearningStats
Version : 0.1.0 Vendor : obs://build_opensuse_org/devel:languages:R
Release : lp153.15.2 Date : 2024-06-14 12:03:40
Group : Development/Libraries/Other Source RPM : R-LearningStats-0.1.0-lp153.15.2.src.rpm
Size : 0.51 MB
Packager : (none)
Summary : Elemental Descriptive and Inferential Statistics
Description :
Provides tools to teach students elemental statistics. The main topics
covered are descriptive statistics, probability models (discrete and
continuous variables) and statistical inference (confidence intervals
and hypothesis tests). One of the main advantages of this package is
that allows the user to read quite a variety of types of data files
with one unique command. Moreover it includes shortcuts to simple but
up-to-now not in R descriptive features such a complete frequency table
or an histogram with the optimal number of intervals. Related to model
distributions (both discrete and continuous), the package allows the
student to easy plot the mass/density function, distribution function
and quantile function just detailing as input arguments the known
population parameters. The inference related tools are basically
confidence interval and hypothesis testing. Having defined independent
commands for these two tools makes it easier for the student to
understand what the software is performing, and it also helps the
student to have a better knowledge on which specific tool they need to
use in each situation. Moreover, the hypothesis testing commands
provide not only the numeric result on the screen but also a very
intuitive graph (which includes the statistic distribution, the
observed value of the statistic, the rejection area and the p-value)
that is very useful for the student to visualise the process. The
regression section includes up to now, a simple linear model, with one
single command the student can obtain the numeric summary as well as
the corresponding diagram with the adjusted regression model and a
legend with basic information (formula of the adjusted model and
R-squared).

RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64

Content of RPM  Provides Requires

Download
ftp.icm.edu.pl  R-LearningStats-0.1.0-lp153.15.2.x86_64.rpm
     

Provides :
R-LearningStats
R-LearningStats(x86-64)

Requires :
R-R6
R-base
R-bit
R-bit64
R-cellranger
R-cli
R-clipr
R-cpp11
R-crayon
R-data.table
R-fansi
R-forcats
R-glue
R-haven
R-hms
R-lifecycle
R-magrittr
R-minty
R-pillar
R-pkgconfig
R-prettyunits
R-progress
R-readODS
R-readr
R-readxl
R-rematch
R-rlang
R-stringi
R-tibble
R-tidyselect
R-tzdb
R-utf8
R-vctrs
R-vroom
R-withr
R-zip
rpmlib(CompressedFileNames) <= 3.0.4-1
rpmlib(FileDigests) <= 4.6.0-1
rpmlib(PayloadFilesHavePrefix) <= 4.0-1
rpmlib(PayloadIsXz) <= 5.2-1


Content of RPM :
/usr/lib64/R/library/LearningStats
/usr/lib64/R/library/LearningStats/DESCRIPTION
/usr/lib64/R/library/LearningStats/INDEX
/usr/lib64/R/library/LearningStats/Meta
/usr/lib64/R/library/LearningStats/Meta/Rd.rds
/usr/lib64/R/library/LearningStats/Meta/data.rds
/usr/lib64/R/library/LearningStats/Meta/features.rds
/usr/lib64/R/library/LearningStats/Meta/hsearch.rds
/usr/lib64/R/library/LearningStats/Meta/links.rds
/usr/lib64/R/library/LearningStats/Meta/nsInfo.rds
/usr/lib64/R/library/LearningStats/Meta/package.rds
/usr/lib64/R/library/LearningStats/NAMESPACE
/usr/lib64/R/library/LearningStats/R
/usr/lib64/R/library/LearningStats/R/LearningStats
/usr/lib64/R/library/LearningStats/R/LearningStats.rdb
/usr/lib64/R/library/LearningStats/R/LearningStats.rdx
/usr/lib64/R/library/LearningStats/data
/usr/lib64/R/library/LearningStats/data/Rdata.rdb
/usr/lib64/R/library/LearningStats/data/Rdata.rds
/usr/lib64/R/library/LearningStats/data/Rdata.rdx
/usr/lib64/R/library/LearningStats/help
/usr/lib64/R/library/LearningStats/help/AnIndex
/usr/lib64/R/library/LearningStats/help/LearningStats.rdb
/usr/lib64/R/library/LearningStats/help/LearningStats.rdx
/usr/lib64/R/library/LearningStats/help/aliases.rds
/usr/lib64/R/library/LearningStats/help/paths.rds
/usr/lib64/R/library/LearningStats/html
/usr/lib64/R/library/LearningStats/html/00Index.html
/usr/lib64/R/library/LearningStats/html/R.css

 
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