rvest也可以用于处理XML文件:用xml()解析,用xml_node()/xml_nodes()、xml_attr()/xml_attrs()、xml_text()和xml_tag()分别提取相应的元素 其中,xml()、xml_node()、xml_nodes()、xml_tag()属于rvest包的函数;read_html()、xml_text()、xml_attr、xml_attrs属于xml2包的函数;加载rvest也会同时载入...
The data set NMES1988 in the AER package contains a sample of individuals over 65 whoare covered by Medicare in order to assess the demand for health care through physicianoffice visits, outpatient visits, ER visits, hospital stays, etc. The data can be accessed byinstalling and loading the ...
The course offers practice with real data via links to Data DeskA (R), a fully functional statistics package. By using ActivStats, students are able to develop a sound understanding of statistical concepts and methods. The CD-ROM also follows a course scope and sequence that is consistent ...
For the Arthritis dataset in the vcd package [there are 3 different levels of improvement (None, Some or Marked) that a patient can experience after receiving 1 of 2 medical treat- ments (Placebo or Treated)], perform the following tasks: (a) Create a Double Decker plot, displaying “Impr...
Eva BojPedro DelicadoJosep FortianaAnna EsteveAdria CaballeXarxa de Referència en Economia Aplicada (XREAP)Social ence Electronic PublishingBoj E, Delicado P, Fortiana J, Esteve A, Caballé A (2012) Local distance-based generalized linear models using the dbstats package for r. Documentos de ...
devtools::install_github("haiderstats/MTLR") GitHub RepoCRAN Page PyPi Package: survival-evaluation A couple survival evaluation metrics. A python package implementing the survival functions found in the paper Effective Ways To Build and Evaluate Individual Survival Distributions. Currently the package ...
Package‘usdarnass’October12,2022 Type Package Title USDA NASS Quick Stats API Version0.1.0 Description An alternative for downloading various United States Department of Agriculture(USDA)data from<https://quickstats.nass.usda.gov/>through R.You must sign up for an API token from the mentioned...
stats import norm # Define the parameters for the standard normal distribution x = 0 mean = 0 std_dev = 1 # Compute the PDF for standard normal distribution pdf_value = norm.pdf(x, loc=mean, scale=std_dev) # Print the result print(f"PDF value at x={x}: {pdf_value}") ...
Do note that this package only provides low-level distribution functions. We recommend using the Distributions.jl package for a more convenient interface. # distrs/beta betapdf, # pdf of beta distribution betalogpdf, # logpdf of beta distribution betacdf, # cdf of beta distribution betaccdf,...
Description A small package containing helper utilities for creating functions for computing statistics.Collate'T.R''capply.R''collect.R''compose.R''consecutive.R''dostats.R''wargs.R''onarg.R''pval.R''utils.R'RoxygenNote7.1.2 NeedsCompilation no Repository CRAN Date/Publication2022-05-1019...