simply "frank off" should also work. Jaim
On Jun 18, 2014, at 1:04 PM, Rolf Huehne <[email protected]> wrote: > On 06/18/2014 11:50 AM, Ravi Raja Merugu wrote: >> Hello everyone, >> >> Is there a way i can undisplay Jmol_S logo on the viewer in the right >> bottom, Is there any option like "set frank off/false" like the one used to >> be in Jmol-13x. I can give full credentials to the Jmol on the about >> section, but I just want to remove the Jmol_S text on the right bottom !! >> any way, to do so !! Help much appreciated. >> > 'set frank off' should still work. > It works at least for me in JSmol 14.0.5 on this example page in our > Jena3D viewer: > jenalib.fli-leibniz.de/cgi-bin/3d_mapping.pl?CODE=4otb&APPLET=html5 > > Which version did you try and did you use the Java or the > HTML5/Javascript version? > > Regards, > Rolf > > -- > > Rolf Huehne > Postdoc > > Leibniz Institute for Age Research - Fritz Lipmann Institute (FLI) > Beutenbergstrasse 11 > 07745 Jena, Germany > > Phone: +49 3641 65 6205 > Fax: +49 3641 65 6210 > E-Mail: [email protected] > Website: http://www.fli-leibniz.de > > Scientific Director: Prof. Dr. K. Lenhard Rudolph > Head of Administration: Dr. Daniele Barthel > Chairman of Board of Trustees: Dennys Klein > > VAT No: DE 153 925 464 > Register of Associations: No. 230296, Amtsgericht Jena > Tax Number: 162/141/08228 > > > ------------------------------------------------------------------------------ > HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions > Find What Matters Most in Your Big Data with HPCC Systems > Open Source. Fast. Scalable. Simple. Ideal for Dirty Data. > Leverages Graph Analysis for Fast Processing & Easy Data Exploration > http://p.sf.net/sfu/hpccsystems > _______________________________________________ > Jmol-users mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/jmol-users ------------------------------------------------------------------------------ HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions Find What Matters Most in Your Big Data with HPCC Systems Open Source. Fast. Scalable. Simple. Ideal for Dirty Data. Leverages Graph Analysis for Fast Processing & Easy Data Exploration http://p.sf.net/sfu/hpccsystems _______________________________________________ Jmol-users mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/jmol-users
