Other packages > Find by keyword >

DanielBiostatistics10th  

Functions for Wayne W. Daniel's Biostatistics, Tenth Edition
View on CRAN: Click here


Download and install DanielBiostatistics10th package within the R console
Install from CRAN:
install.packages("DanielBiostatistics10th")

Install from Github:
library("remotes")
install_github("cran/DanielBiostatistics10th")

Install by package version:
library("remotes")
install_version("DanielBiostatistics10th", "0.2.6")



Attach the package and use:
library("DanielBiostatistics10th")
Maintained by
Tingting Zhan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-03
Latest Update: 2022-09-16
Description:
Functions to accompany Wayne W. Daniel's Biostatistics: A Foundation for Analysis in the Health Sciences, Tenth Edition.
How to cite:
Tingting Zhan (2022). DanielBiostatistics10th: Functions for Wayne W. Daniel's Biostatistics, Tenth Edition. R package version 0.2.6, https://cran.r-project.org/web/packages/DanielBiostatistics10th. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2022-05-03 11:40), 0.1.1 (2022-05-06 11:00), 0.1.2 (2022-05-13 22:50), 0.1.3 (2022-05-20 23:50), 0.1.4 (2022-05-29 15:30), 0.1.5 (2022-06-07 19:40), 0.1.6 (2022-06-15 17:20), 0.1.7 (2022-08-08 20:30), 0.1.8 (2022-09-16 13:06), 0.1.9 (2023-10-18 16:20), 0.1.10 (2023-11-27 21:50), 0.1.11 (2024-04-04 05:53), 0.2.0 (2024-04-11 16:40), 0.2.1 (2024-04-21 16:02), 0.2.2 (2024-04-30 15:30), 0.2.3 (2024-08-22 07:00), 0.2.4 (2024-08-29 15:50), 0.2.5 (2024-10-05 21:40)
Other packages that cited DanielBiostatistics10th R package
View DanielBiostatistics10th citation profile
Other R packages that DanielBiostatistics10th depends, imports, suggests or enhances
Complete documentation for DanielBiostatistics10th
Functions, R codes and Examples using the DanielBiostatistics10th R package
Some associated functions: BooleanRisk-class . BooleanTest-class . Chapter01 . Chapter02 . Chapter03 . Chapter04 . Chapter05to07 . Chapter07_power . Chapter09 . Chapter11 . Chapter12 . DanielBiostatistics10th-package . EXA_C01_S04_01 . EXA_C02_S05_05 . EXA_C06_S02_04 . EXA_C07_S02_03 . EXA_C07_S03_02 . EXA_C07_S04_01 . EXA_C07_S07_01 . EXA_C08_S02_01 . EXA_C08_S03_01 . EXA_C08_S04_01 . EXA_C08_S04_02 . EXA_C08_S05_02 . EXA_C09_S03_01 . EXA_C09_S07_01 . EXA_C10_S03_01 . EXA_C10_S06_01 . EXA_C11_S01_01 . EXA_C11_S01_02 . EXA_C11_S02_01 . EXA_C11_S02_03 . EXA_C11_S03_01 . EXA_C11_S04_02 . EXA_C11_S05_01 . EXA_C12_S02_03 . EXA_C13_S03_02 . EXA_C13_S05_01 . EXA_C13_S06_01 . EXA_C13_S07_01 . EXA_C13_S08_02 . EXA_C13_S09_01 . EXA_C13_S09_02 . EXA_C13_S10_01 . EXA_C13_S10_02 . EXA_C14_S03_01 . EXA_C14_S05_01 . EXR_C02_S03_01 . EXR_C02_S03_02 . EXR_C02_S03_03 . EXR_C02_S03_04 . EXR_C02_S03_05 . EXR_C02_S03_06 . EXR_C02_S03_07 . EXR_C02_S03_08 . EXR_C02_S03_09 . EXR_C02_S03_11 . EXR_C02_S03_12 . EXR_C02_S05_03 . EXR_C02_S05_06 . EXR_C06_S02_05 . EXR_C06_S04_10 . EXR_C06_S09_07 . EXR_C06_S10_07 . EXR_C07_S02_13 . EXR_C07_S02_15 . EXR_C07_S02_16 . EXR_C07_S03_03 . EXR_C07_S03_04 . EXR_C07_S03_05 . EXR_C07_S03_10 . EXR_C07_S03_11 . EXR_C07_S03_12 . EXR_C07_S04_01 . EXR_C07_S04_02 . EXR_C07_S04_03 . EXR_C07_S04_04 . EXR_C07_S08_07 . EXR_C08_S02_01 . EXR_C08_S02_02 . EXR_C08_S02_03 . EXR_C08_S02_04 . EXR_C08_S02_05 . EXR_C08_S02_06 . EXR_C08_S02_07 . EXR_C08_S03_01 . EXR_C08_S03_02 . EXR_C08_S03_03 . EXR_C08_S03_04 . EXR_C08_S03_05 . EXR_C08_S04_01 . EXR_C08_S04_02 . EXR_C08_S04_03 . EXR_C08_S04_06 . EXR_C08_S05_01 . EXR_C08_S05_02 . EXR_C08_S05_03 . EXR_C08_S05_04 . EXR_C09_S03_02 . EXR_C09_S03_03 . EXR_C09_S03_04 . EXR_C09_S03_06 . EXR_C09_S03_07 . EXR_C09_S07_01 . EXR_C09_S07_02 . EXR_C09_S07_04 . EXR_C09_S07_05 . EXR_C09_S07_06 . EXR_C10_S03_01 . EXR_C10_S03_02 . EXR_C10_S03_03 . EXR_C10_S03_04 . EXR_C10_S03_05 . EXR_C10_S03_06 . EXR_C10_S06_01 . EXR_C10_S06_02 . EXR_C10_S06_03 . EXR_C10_S06_04 . EXR_C11_S02_01 . EXR_C11_S02_02 . EXR_C11_S02_03 . EXR_C11_S02_04 . EXR_C11_S03_01 . EXR_C11_S03_02 . EXR_C11_S03_03 . EXR_C11_S04_01 . EXR_C11_S04_02 . EXR_C11_S05_01 . EXR_C11_S05_02 . EXR_C11_S05_04 . EXR_C13_S05_01 . EXR_C13_S05_02 . EXR_C13_S06_01 . EXR_C13_S06_02 . EXR_C13_S06_03 . EXR_C13_S07_02 . EXR_C13_S08_01 . EXR_C13_S08_02 . EXR_C13_S08_03 . EXR_C13_S08_04 . EXR_C13_S08_05 . EXR_C13_S08_06 . EXR_C13_S09_01 . EXR_C13_S09_02 . EXR_C13_S09_03 . EXR_C13_S10_01 . EXR_C13_S10_02 . EXR_C13_S10_03 . EXR_C13_S10_04 . EXR_C13_S10_05 . EXR_C13_S10_06 . EXR_C14_S03_01 . EXR_C14_S03_02 . EXR_C14_S04_03 . Gosset_Welch . LDS_C02_NCBIRTH800 . LDS_C06_BABYWGTS . LDS_C06_BOYHGTS . LDS_C06_CHOLEST . LDS_C07_HEADCIRC . LDS_C07_HEMOGLOB . LDS_C07_MANDEXT . LDS_C07_PCKDATA . LDS_C07_PROTHROM . LDS_C08_CSFDATA . LDS_C08_LSADATA . LDS_C08_MEDSCORES . LDS_C08_RBCDATA . LDS_C08_SACEDATA . LDS_C08_SERUMCHO . LDS_C09_CALCIUM . LDS_C09_CEREBRAL . LDS_C09_HYPERTEN . LDS_C10_LTEXER . LDS_C10_RESPDIS . LDS_C10_RISKFACT . LDS_C10_STERLENGTH . LDS_C11_AQUATICS . LDS_C11_TEACHERS . LDS_C11_WGTLOSS . LDS_C12_SMOKING . LDS_C13_KLETTER . REV_C02_13 . REV_C02_15 . REV_C02_16 . REV_C02_19 . REV_C02_29 . REV_C06_22 . REV_C06_23 . REV_C06_28 . REV_C07_18 . REV_C07_19 . REV_C07_22 . REV_C07_24 . REV_C07_29 . REV_C07_40 . REV_C07_41 . REV_C07_42 . REV_C07_43 . REV_C07_44 . REV_C07_45 . REV_C07_46 . REV_C07_47 . REV_C07_48 . REV_C07_49 . REV_C07_50 . REV_C07_51 . REV_C07_52 . REV_C07_53 . REV_C07_54 . REV_C07_55 . REV_C08_13 . REV_C08_14 . REV_C08_15 . REV_C08_16 . REV_C08_17 . REV_C08_18 . REV_C08_19 . REV_C08_20 . REV_C08_21 . REV_C08_22 . REV_C08_23 . REV_C08_24 . REV_C08_25 . REV_C08_31 . REV_C08_32 . REV_C08_33 . REV_C08_39 . REV_C08_40 . REV_C08_41 . REV_C08_42 . REV_C08_43 . REV_C08_44 . REV_C08_45 . REV_C08_46 . REV_C08_47 . REV_C08_48 . REV_C08_49 . REV_C08_50 . REV_C08_51 . REV_C08_52 . REV_C08_53 . REV_C08_54 . REV_C08_55 . REV_C08_56 . REV_C08_57 . REV_C08_58 . REV_C08_59 . REV_C08_60 . REV_C08_61 . REV_C08_62 . REV_C08_63 . REV_C08_64 . REV_C08_65 . REV_C08_66 . REV_C09_16 . REV_C09_17 . REV_C09_18 . REV_C09_19 . REV_C09_20 . REV_C09_21 . REV_C09_22 . REV_C09_23 . REV_C09_24 . REV_C09_25 . REV_C09_29 . REV_C09_30 . REV_C09_31 . REV_C09_32 . REV_C09_33 . REV_C09_34 . REV_C09_35 . REV_C09_36 . REV_C09_37 . REV_C09_38 . REV_C09_39 . REV_C09_40 . REV_C09_41 . REV_C09_42 . REV_C09_43 . REV_C09_44 . REV_C09_45 . REV_C09_46 . REV_C10_06 . REV_C10_07 . REV_C10_08 . REV_C10_09 . REV_C10_10 . REV_C10_11 . REV_C10_17 . REV_C10_18 . REV_C10_19 . REV_C11_14 . REV_C11_15 . REV_C11_16 . REV_C11_17 . REV_C11_18 . REV_C11_22 . REV_C11_23 . REV_C11_24 . REV_C11_25 . REV_C11_26 . REV_C11_27 . REV_C11_28 . REV_C11_29 . REV_C13_06 . REV_C13_08 . REV_C13_09 . REV_C13_10 . REV_C13_13 . REV_C13_15 . REV_C13_16 . REV_C13_17 . REV_C13_18 . REV_C13_19 . REV_C13_20 . REV_C13_21 . REV_C13_22 . REV_C13_23 . REV_C13_24 . REV_C13_25 . REV_C13_26 . REV_C13_27 . REV_C13_28 . REV_C13_29 . REV_C14_11 . REV_C14_12 . RejectionRegion-class . binom2pois . freqs-class . power-class . show-BooleanRisk-method . show-BooleanTest-method . show-freqs-method . show-power-method . 
Some associated R codes: 0S4_Boolean.R . 0S4_freqs.R . DanielBiostatistics10th.R . Gosset_Welch.R . chp1.R . chp11.R . chp12.R . chp2.R . chp3.R . chp4.R . chp5.6.7.R . chp7.power.R . chp9.R . data_doc.R .  Full DanielBiostatistics10th package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA