- 文章信息
- 作者: kaiwu
- 点击数:600
R Notebook
import library
library(lpSolveAPI)
define the datasets
https://civil.colorado.edu/~balajir/CVEN5393/R-sessions/sess1/lpSolveAPI-vignettes.pdf
https://www.r-bloggers.com/2012/07/linear-programming-in-r-an-lpsolveapi-example/
Hillier, F. S., & Hillier, M. S. (2019). Introduction to management science: A modeling and case studies approach with spreadsheets (6th). McGraw-Hill Education.pp26-47
A new lpSolve linear program model object with m constraints and n decision variables can be created using the make.lp function. For example, the following command creates an lpSolve linear program model object with 3 constraints and 2 decision variables.
create an LP model with 3 constraints and 2 decision variables
my.lp <- make.lp(3, 2)
hours<-data.frame(plant=c('plant1','plant2','plant3'), door_hours=c(1,0,3), window_hours=c(0,2,2),avaible_hours=c(4,12,18))
set.column(my.lp, 1, hours$door_hours)
set.column(my.lp, 2, hours$window_hours)
set.constr.type(my.lp, rep("<=", 3))
set.objfn(my.lp, c(300, 500))
RowNames <- c("plant1", "plant2", "plant3")
ColNames <- c("door", "window")
dimnames(my.lp) <- list(RowNames, ColNames)
set.rhs(my.lp, hours$avaible_hours)
set.type(my.lp, c(1,2), "integer")
lp.control(my.lp,sense='max')
## $anti.degen
## [1] "fixedvars" "stalling"
##
## $basis.crash
## [1] "none"
##
## $bb.depthlimit
## [1] -50
##
## $bb.floorfirst
## [1] "automatic"
##
## $bb.rule
## [1] "pseudononint" "greedy" "dynamic" "rcostfixing"
##
## $break.at.first
## [1] FALSE
##
## $break.at.value
## [1] 1e+30
##
## $epsilon
## epsb epsd epsel epsint epsperturb epspivot
## 1e-10 1e-09 1e-12 1e-07 1e-05 2e-07
##
## $improve
## [1] "dualfeas" "thetagap"
##
## $infinite
## [1] 1e+30
##
## $maxpivot
## [1] 250
##
## $mip.gap
## absolute relative
## 1e-11 1e-11
##
## $negrange
## [1] -1e+06
##
## $obj.in.basis
## [1] TRUE
##
## $pivoting
## [1] "devex" "adaptive"
##
## $presolve
## [1] "none"
##
## $scalelimit
## [1] 5
##
## $scaling
## [1] "geometric" "equilibrate" "integers"
##
## $sense
## [1] "maximize"
##
## $simplextype
## [1] "dual" "primal"
##
## $timeout
## [1] 0
##
## $verbose
## [1] "neutral"
my.lp
## Model name:
## door window
## Maximize 300 500
## plant1 1 0 <= 4
## plant2 0 2 <= 12
## plant3 3 2 <= 18
## Kind Std Std
## Type Int Int
## Upper Inf Inf
## Lower 0 0
solve(my.lp)
## [1] 0
#this return the proposed solution
get.objective(my.lp)
## [1] 3600
get.variables(my.lp)
## [1] 2 6
get.constraints(my.lp)
## [1] 2 12 18
- 文章信息
- 作者: kaiwu
- 点击数:15518
R Notebook
import library
library(lpSolveAPI)
define the data sets
A new lpSolve linear program model object with m constraints and n decision variables can be created using the make.lp function. For example, the following command creates an lpSolve linear program model object with 3 constraints and 2 decision variables.
create an LP model with 3 constraints and 2 decision variables
my.lp <- make.lp(7, 7)
#每周连休2天
work<-data.frame(weekday1=c(0,0,1,1,1,1,1), weekday2=c(1,0,0,1,1,1,1),weekday3=c(1,1,0,0,1,1,1),weekday4=c(1,1,1,0,0,1,1),weekday5=c(1,1,1,1,0,0,1),weekday6=c(1,1,1,1,1,0,0),weekday7=c(0,1,1,1,1,1,0),week_need=c(4,8,8,7,7,6,5))
#每周休1天
#work<-data.frame(weekday1=c(0,1,1,1,1,1,1), weekday2=c(1,0,1,1,1,1,1),weekday3=c(1,1,0,1,1,1,1),weekday4=c(1,1,1,0,1,1,1),weekday5=c(1,1,1,1,0,1,1),weekday6=c(1,1,1,1,1,0,1),weekday7=c(1,1,1,1,1,1,0),week_need=c(4,8,8,7,7,6,5))
for (i in 1:7){
set.column(my.lp, i, work[,i])
}
set.constr.type(my.lp, rep(">=", 7))
set.objfn(my.lp, c(1,1,1,1,1,1,1))
RowNames <- c("Sunday", "Monday", "Tuesday","Wednesday", "Thursday", "Friday","Saturday")
ColNames <- c("team_Sunday", "team_Monday", "team_Tuesday","team_Wednesday", "team_Thursday", "team_Friday","team_Saturday")
dimnames(my.lp) <- list(RowNames, ColNames)
set.rhs(my.lp, work[,8])
set.type(my.lp, c(1:7), "integer")
lp.control(my.lp,sense='min')
## $anti.degen
## [1] "fixedvars" "stalling"
##
## $basis.crash
## [1] "none"
##
## $bb.depthlimit
## [1] -50
##
## $bb.floorfirst
## [1] "automatic"
##
## $bb.rule
## [1] "pseudononint" "greedy" "dynamic" "rcostfixing"
##
## $break.at.first
## [1] FALSE
##
## $break.at.value
## [1] -1e+30
##
## $epsilon
## epsb epsd epsel epsint epsperturb epspivot
## 1e-10 1e-09 1e-12 1e-07 1e-05 2e-07
##
## $improve
## [1] "dualfeas" "thetagap"
##
## $infinite
## [1] 1e+30
##
## $maxpivot
## [1] 250
##
## $mip.gap
## absolute relative
## 1e-11 1e-11
##
## $negrange
## [1] -1e+06
##
## $obj.in.basis
## [1] TRUE
##
## $pivoting
## [1] "devex" "adaptive"
##
## $presolve
## [1] "none"
##
## $scalelimit
## [1] 5
##
## $scaling
## [1] "geometric" "equilibrate" "integers"
##
## $sense
## [1] "minimize"
##
## $simplextype
## [1] "dual" "primal"
##
## $timeout
## [1] 0
##
## $verbose
## [1] "neutral"
my.lp
## Model name:
## team_Sunday team_Monday team_Tuesday team_Wednesday team_Thursday team_Friday team_Saturday
## Minimize 1 1 1 1 1 1 1
## Sunday 0 1 1 1 1 1 0 >= 4
## Monday 0 0 1 1 1 1 1 >= 8
## Tuesday 1 0 0 1 1 1 1 >= 8
## Wednesday 1 1 0 0 1 1 1 >= 7
## Thursday 1 1 1 0 0 1 1 >= 7
## Friday 1 1 1 1 0 0 1 >= 6
## Saturday 1 1 1 1 1 0 0 >= 5
## Kind Std Std Std Std Std Std Std
## Type Int Int Int Int Int Int Int
## Upper Inf Inf Inf Inf Inf Inf Inf
## Lower 0 0 0 0 0 0 0
solve(my.lp)
## [1] 0
#this return the proposed solution
get.objective(my.lp)
## [1] 10
get.variables(my.lp)
## [1] 2 0 0 3 0 4 1
get.constraints(my.lp)
## [1] 7 8 10 7 7 6 5
- 文章信息
- 作者: kaiwu
- 点击数:1994
http://connectedresearchers.com/online-tools-for-researchers/
2021-1-15
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Zotero – Helps you collect, organize, cite, and share your research sources
-
ASCII doctor– Text processor & publishing toolchain for converting AsciiDoc to HTML5, DocBook & more.
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Atlas – Write, collaborate, design and publish on a single platform.
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Authorcafe – Authoring and Publishing Services platform for scholarly writing.
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Draft – Version control and collaboration to improve your writing.
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F1000 workspace – A workspace for scientists to collect, write and discuss scientific literature.
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Fidus Writer – Online collaborative editor especially made for academics who need to use citations and/or formulas.
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Overleaf – Online collaborative LaTeX editor, with direct submission to several publishers (ex WriteLaTex)
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Pensoft Writing Tool – Collaborative authoring, reviewing and publishing in one place.
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Poetica – Get clear feedback, wherever you’re writing.
-
ShareLaTex – Collaborative on-line editor for for Maths or Sciences.
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Stackedit – Markdown editor based on PageDown, the Markdown library used by Stack Overflow.
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Typewrite – A simple, real-time collaborative writing environment.
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Quip – Combines chat, documents, spreadsheets, checklist, and more to collaborate on any device.
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Write – Distraction-free text editor for writing productivity.
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Ludwig – Helps you improve your English writing by comparing your words with those found on trusted sources such as the New York Time or the BBC.
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Ref-n-Write – Microsoft Word Add-in that helps you improve your English writing skills.
![](/images/publish.png)
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eLife – Open access to the most promising advances in science.
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F1000Research – Open science publishing, using immediate publication followed by transparent peer review.
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GigaScience – Online open-access open-data journal that publishes ‘big-data’ studies from the life and biomedical sciences.
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Limn – Free journal that outlines contemporary problems.
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PeerJ – Open access pre-print and publishing of life science research with annotation.
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Cureus – A free and open access the medical journal and a place for physicians to build a digital CV.
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ScienceOpen – Freely accessible research network to share and evaluate scientific information.
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The Winnower – Open access online science publishing platform that employs open post-publication peer review.
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ArXiv – E-prints in Physics, Mathematics, Computer Science, Quantitative Biology, Quantitative Finance and Statistics.
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biorXiv – The preprint server for Biology.
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F1000 – Leading biomedical experts helping scientists to discover, discuss and publish research.
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Figshare – Manage your research in the cloud and control who you share it with or make it publicly available and citable.
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Peer Evaluation – Open repository for data, papers, media coupled with an open review and discussion platform.
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Peerage of Science – Pre-publication peer review and publishing for scientific articles.
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PeerJ PrePrints– Pre-print repository for the biological and medical Sciences.
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SlideShare – Community for sharing presentations and other professional content.
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Zenodo – A home for the long-tail of science, enabling researchers to share and preserve any research outputs.
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Collage Authoring Environment – Framework for collaborative preparation and publication of so-called executable paper.
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Exec&Share – Openly share the code and data that underlie your research publications.
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Google Charts– Create live and interactive charts in your browser.
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ORCID – Provides a persistent digital identifier that distinguishes you from every other researcher.
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Cofactor Science Journal Selector – A journal selector from the editing service Cofactor.
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Edanz’s journal advisor – Personal guide that recommends the tools and services you need to get published.
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Editorlookup – Search tool to help find scientific professionals for academic tasks, such as editors and reviewers for scientific manuscripts.
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Journal Finder– Elsevier’s service that help you find journals that could be best suited for publishing your scientific article.
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Journal Guide – Find the best journal for your research. (blog post)
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Journal Reviewer – Aggregates information users provide about their experience with academic journals’ review processes.
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RoMEO – Find out publisher copyright and self-archiving policies.
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Peer-review
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Academic Karma – Review of preprint publication, open and linked to original preprint.
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F1000 – Leading biomedical experts helping scientists to discover, discuss and publish research.
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Hypothes.is – Sentence-level peer-review to provide commentary, references, and insight on top of online content.
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Journal Review – Rate, and review published medical journal articles.
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Libre – Participative reviewing platform (beta testing).
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Paper Critic – Review platform for research publications (Mendeley plugin).
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Peerage of Science– Pre-publication peer review and publishing for scientific articles.
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PeerJ– Open access pre-print and publishing of life science research with annotation.
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PubPeer – Search for publications and provide feedback and/or start a conversation anonymously.
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Publons – Record, showcase, and verify all your peer review activity.
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Pubmed Commons – Share opinions and information about scientific publications in PubMed. (blog post)
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ScienceOpen – Freely accessible research network to share and evaluate scientific information.
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Wiki Journal Club – Open, user-reviewed summaries of the top studies in medical research.
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The Winnower – Open access online science publishing platform that employs open post-publication peer review.
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Altmetric – Tracks what people are saying about papers online on behalf of publishers, authors, libraries and institutions.
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ImpactStory – Share the full story of your research impact. (blog post)
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PLOS Article-Level Metrics – A suite of established metrics that measure the overall performance and reach of research articles.
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PlumAnalytics– A research altmetric service tracking more than 20 different types of artifacts.
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Profeza – Showcasing the unvalued work behind each article to provide new, more accurate way of evaluating researchers.
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Publons – Record, showcase, and verify all your peer review activity.
- 文章信息
- 作者: kaiwu
- 点击数:627
https://doi.org/10.37741/t.69.1.1
The Influence of Impulsiveness on Local Food Purchase Behavior in a Tourism Context
Guliz Coskun orcid.org/0000-0002-5200-6370 ; Department of Recreation Management, Faculty of Tourism, Sakarya University of Applied Sciences, Sakarya, Turkey
William Norman ; Clemson University, College of Behavioral Social and Health Sciences, Faculty of Parks Recreation and Tourism Management, Clemson, South Carolina, USA
APA 6th Edition
Coskun, G. & Norman, W. (2021). The Influence of Impulsiveness on Local Food Purchase Behavior in a Tourism Context. Tourism: An International Interdisciplinary Journal, 69 (1), 7-18. https://doi.org/10.37741/t.69.1.1
MLA 8th Edition
Coskun, Guliz and William Norman. "The Influence of Impulsiveness on Local Food Purchase Behavior in a Tourism Context." Tourism: An International Interdisciplinary Journal, vol. 69, no. 1, 2021, pp. 7-18. https://doi.org/10.37741/t.69.1.1. Accessed 7 Apr. 2021.
Chicago 17th Edition
Coskun, Guliz and William Norman. "The Influence of Impulsiveness on Local Food Purchase Behavior in a Tourism Context." Tourism: An International Interdisciplinary Journal 69, no. 1 (2021): 7-18. https://doi.org/10.37741/t.69.1.1
Harvard
Coskun, G., and Norman, W. (2021). 'The Influence of Impulsiveness on Local Food Purchase Behavior in a Tourism Context', Tourism: An International Interdisciplinary Journal, 69(1), pp. 7-18. https://doi.org/10.37741/t.69.1.1
Vancouver
Coskun G, Norman W. The Influence of Impulsiveness on Local Food Purchase Behavior in a Tourism Context. Tourism: An International Interdisciplinary Journal [Internet]. 2021 [cited 2021 April 07];69(1):7-18. https://doi.org/10.37741/t.69.1.1
IEEE
G. Coskun and W. Norman, "The Influence of Impulsiveness on Local Food Purchase Behavior in a Tourism Context", Tourism: An International Interdisciplinary Journal, vol.69, no. 1, pp. 7-18, 2021. [Online]. https://doi.org/10.37741/t.69.1.1
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- 文章信息
- 作者: kaiwu
- 点击数:713
https://github.com/ramnathv/htmlwidgets
127 charts
http://gallery.htmlwidgets.org/
chapter 14
https://www.crumplab.com/psyc7709_2019/book/docs/creating-your-own-html-widget.html
chapter 3
https://book.javascript-for-r.com/widgets-intro-intro.html
chapter 4.4
https://bookdown.org/rdpeng/RProgDA/htmlwidgets.html
https://dreamrs.github.io/apexcharter/index.html
https://mpn.metworx.com/packages/htmlwidgets/1.5.4/articles/develop_intro.html