HI Team,
I am working to reduce the # of predictor variables from the model using
woe and iv values. For this i am using riv package. However i am having a
hard time installing this package:
install_github("riv","tomasgreif")
install.packages("DBI",dependencies=TRUE)
The error i receive is :
*Username parameter is deprecated. Please use tomasgreif/riv *
The other approach i have to use the library(InformationValue). I have this
as below:
WOE(X=SFDC1$support_cat, Y=SFDC1$survey)
WOETable(X=SFDC1$support_cat, Y=SFDC1$survey)
IV(X=SFDC1$support_cat, Y=SFDC1$survey)
This package assists me achieve what i am looking for but here i need to
add one independent variable at a time to see whether it is predictive or
not. Is there a way i can add all variables at a go or have to add one by
one,
For the above package (riv) i have seen an example which helps to take the
entire data range and predictive the power of each predictor. The link for
the same is:
https://www.r-bloggers.com/r-credit-scoring-woe-information-value-in-woe-
package/
Thanks, Shivi
[[alternative HTML version deleted]]
> On Aug 16, 2016, at 11:07 AM, Shivi Bhatia <shivipmp82 at gmail.com> wrote: > > HI Team, > > I am working to reduce the # of predictor variables from the model using > woe and iv values. For this i am using riv package. However i am having a > hard time installing this package: > > install_github("riv","tomasgreif") > install.packages("DBI",dependencies=TRUE) > > The error i receive is : > *Username parameter is deprecated. Please use tomasgreif/riv *No. You did not get an error message. It was clearly labeled a :Warning message". Here is the full console output from that call:> install_github("riv","tomasgreif")Downloading GitHub repo tomasgreif/riv at master from URL https://api.github.com/repos/tomasgreif/riv/zipball/master Installing woe '/Library/Frameworks/R.framework/Resources/bin/R' --no-site-file --no-environ \ --no-save --no-restore --quiet CMD INSTALL \ '/private/var/folders/yq/m3j1jqtj6hq6s5mq_v0jn3s80000gn/T/Rtmp6YDYoj/devtoolsadc32ead1a82/tomasgreif-woe-43fcf26' \ --library='/Library/Frameworks/R.framework/Versions/3.3/Resources/library' \ --install-tests * installing *source* package ?woe? ... ** R ** data *** moving datasets to lazyload DB ** demo ** preparing package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded * DONE (woe) Warning message: Username parameter is deprecated. Please use tomasgreif/riv It's just telling you to use this next time: install_github("tomasgreif/riv") I will lay long odds that you already have the package installed. I cannot comment on what this package purports to do. I'm somewhat suspicious that it is statistically suspect. -- David.> > The other approach i have to use the library(InformationValue). I have this > as below: > WOE(X=SFDC1$support_cat, Y=SFDC1$survey) > WOETable(X=SFDC1$support_cat, Y=SFDC1$survey) > IV(X=SFDC1$support_cat, Y=SFDC1$survey) > > This package assists me achieve what i am looking for but here i need to > add one independent variable at a time to see whether it is predictive or > not. Is there a way i can add all variables at a go or have to add one by > one, > > For the above package (riv) i have seen an example which helps to take the > entire data range and predictive the power of each predictor. The link for > the same is: > https://www.r-bloggers.com/r-credit-scoring-woe-information-value-in-woe- > package/ > > Thanks, Shivi > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.David Winsemius Alameda, CA, USA
Hi David, If this has loaded correctly then it still does not allow me to run iv.multi command where a can add all the variables in the model and find their respective WOE and IV values. Thanks, Shivi On Wed, Aug 17, 2016 at 1:17 AM, David Winsemius <dwinsemius at comcast.net> wrote:> > > On Aug 16, 2016, at 11:07 AM, Shivi Bhatia <shivipmp82 at gmail.com> wrote: > > > > HI Team, > > > > I am working to reduce the # of predictor variables from the model using > > woe and iv values. For this i am using riv package. However i am having a > > hard time installing this package: > > > > install_github("riv","tomasgreif") > > install.packages("DBI",dependencies=TRUE) > > > > The error i receive is : > > *Username parameter is deprecated. Please use tomasgreif/riv * > > No. You did not get an error message. It was clearly labeled a :Warning > message". Here is the full console output from that call: > > > install_github("riv","tomasgreif") > Downloading GitHub repo tomasgreif/riv at master > from URL https://api.github.com/repos/tomasgreif/riv/zipball/master > Installing woe > '/Library/Frameworks/R.framework/Resources/bin/R' --no-site-file > --no-environ \ > --no-save --no-restore --quiet CMD INSTALL \ > '/private/var/folders/yq/m3j1jqtj6hq6s5mq_v0jn3s80000gn/T/Rtmp6YDYoj/ > devtoolsadc32ead1a82/tomasgreif-woe-43fcf26' \ > --library='/Library/Frameworks/R.framework/Versions/3.3/Resources/library' > \ > --install-tests > > * installing *source* package ?woe? ... > ** R > ** data > *** moving datasets to lazyload DB > ** demo > ** preparing package for lazy loading > ** help > *** installing help indices > ** building package indices > ** testing if installed package can be loaded > * DONE (woe) > Warning message: > Username parameter is deprecated. Please use tomasgreif/riv > > > It's just telling you to use this next time: > > install_github("tomasgreif/riv") > > I will lay long odds that you already have the package installed. > > I cannot comment on what this package purports to do. I'm somewhat > suspicious that it is statistically suspect. > > -- > David. > > > > > The other approach i have to use the library(InformationValue). I have > this > > as below: > > WOE(X=SFDC1$support_cat, Y=SFDC1$survey) > > WOETable(X=SFDC1$support_cat, Y=SFDC1$survey) > > IV(X=SFDC1$support_cat, Y=SFDC1$survey) > > > > This package assists me achieve what i am looking for but here i need to > > add one independent variable at a time to see whether it is predictive or > > not. Is there a way i can add all variables at a go or have to add one by > > one, > > > > For the above package (riv) i have seen an example which helps to take > the > > entire data range and predictive the power of each predictor. The link > for > > the same is: > > https://www.r-bloggers.com/r-credit-scoring-woe- > information-value-in-woe- > > package/ > > > > Thanks, Shivi > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide http://www.R-project.org/ > posting-guide.html > > and provide commented, minimal, self-contained, reproducible code. > > David Winsemius > Alameda, CA, USA > >[[alternative HTML version deleted]]