From octave-sources-request at bevo dot che dot wisc dot edu Tue Jul 28 22:52:34 1998 Subject: plot function using grace From: "Jean-Marc.Valin" To: octave-sources at bevo dot che dot wisc dot edu Date: Tue, 28 Jul 1998 23:52:19 -0400 (EDT) This message is in MIME format. The first part should be readable text, while the remaining parts are likely unreadable without MIME-aware tools. Send mail to mime at docserver dot cac dot washington dot edu for more info. ---559023410-851401618-901684339=:19826 Content-Type: TEXT/PLAIN; charset=US-ASCII I have just completed a set of "almost Matlab-compatible" plot functions that use grace (previously known as xmgr or ACE/GR) instead of gnuplot, and produces publishable-quality plots. All those functions have the same name as the original function, except of the prefix "xm". I'm new to octave, so the code could probably be much cleaner. The .m files are tgzipped in attachment. The grace (which is GPL) can be obtained at: ftp://plasma-gate.weizmann.ac.il/pub/grace/ Please let me know if this code is useful to anybody... Jean-Marc Valin ------------------------------------------------------------------------- Jean-Marc Valin O'TOOL'S COMMENTARY ON MURPHY'S LAWS valj01 at gel dot usherb dot ca -Murphy was an optimist ---559023410-851401618-901684339=:19826 Content-Type: APPLICATION/octet-stream; name="xmplot.tgz" Content-Transfer-Encoding: BASE64 Content-ID: Content-Description: H4sIAOibvjUAA+0c/XPaxjK/hr9iq0waqRFEAmOSEJK6mab1myTN2M7rZPLS jIADrhYSlYQtvR/e3/72vpAQEtgugXqsG9syp9vvvd2946R4Og6cAXly7xs2 OLA67TbcA4DO4QG/2gfiKpsFcNhud9p2+8Bq4l3roNW8B+1vyZRq8zByAoB7 f043jSNBuAuGdttiaf94OnP9qLFBCTdrtmUdSnsX2d/utFvK/s1mC32BXdD+ 1rdgJt/uuP0fPIDX/iwJ6HgSgf7aAPvZs6cA/yKOV3/nBAP4t+NSr/bgAf7A 2YSGMAt8dJkp4L+jgBAI/VF06QSkC4k/h4HjQUCGNIwC2p9HBGgEjjd84gcw 9Yd0lDA82Df3hiSAaEIgIsE0BH/EP/zy/iP8QjwSOC58mPddOoC3dEC8kICD pFlPOCFD6HM8DOIN4+FU8gBvfETsRNT3ukAo3g/gAu2Gn6FpAjKhOxHjMwB/ xkYZDI3jJeA6UTq2USJvKtYQqMfJT/wZijBBrCjUJXVd6BNAXxnNXRNwJEPz +/HZr799PIOj95/g96OTk6P3Z5+6ODia+PMIyAURqChOQYqYUZDA8aIEdcKg 3/188vpXBDn66fjt8dknJsSb47P3P5+ewpvfTuAIPhydnB2//vj26AQ+fDz5 8Nvpzw2AU0KUQhmSEp2OuFlQb0MSOdQNleCf0JIhcucOYeJcELTogNAL5M2B AXrLZmtxtbq+N+Zi4mDmLdQlyNnxCDw/MuEyoOgekb/WiiZD1H4GZwSVQ+CD i7EK6nA6Z7CtlmXCT34Y4Th4dwRW07btut2yOiZ8PD1q1BjwPHTG5DmACHCg hyQKDSnmOydynT6Qv+b0wnGJF8Fo7g0YXa4ZBsCGfQxJCDJQMobRDWaukwB2 zCZ0wMkczdGawfOVmQMvEPOflv3jmLiNOfpu0G8MnJcM5IcfuH8x8Uc0CKOF p+J8YV7Xd/pugvr20DReCMgMnyb9+Tis1RaMKrkajYZREx8ukS/dMi3Tcd2v F85XJxiHRrdWOP/T+O+SMfGG3yIDbIj/TfZhEf/tAxb/21aniv+7aFX8r+L/ HYn/IsCBLq5XzAFi8C3IAsvS2SbLB93a2EUErmL7q7jZrS1/7i1d7G6thkmD hcVIRxSXE7Qb6PW6h3mE4owByOHrfc7hFzlHN750a0x5+45xVStvy+s/Vjls vwJYn/+bVss6VPm/1eb5v2UftKv8v4tW5f8q/9+R/K8CHOix64/NhP1hfRdO EPLVk5BdCcSXVUu1gEBh4jUkU4rgn2Mz+cI+4//4cwuqhMXyMFUBF712H9sD XC+CrBhQKRRxojDozMOM+Jj+c0VFRCOXdFf7w3m/7FaMJRdxC24kZTdU5bJy YzAPghEdF9yZ0WFY0D3x3SI8HtsYKJIimRaxQz2US2iNejyesQtFM/4X1ZVX ohzIDYj+zQLOJToF8w9fTI4+iTAAvXr1CmnREXxHYow1urakY43XXst672ka Y4+VWYWAygg5WNW9CVwYKgcsOntavB42KYJNJGyyHlaYOwcrq80NLEuHyMHK 3p69Fpb5Rg6QdfWstVDcdXJgvC+FEw4wojFOqNCfYtaMMMaPCdodAyzF2XU5 wTQwDymGzHodbw4pm7KOK0jiwmQcTfScNAb0emCtl7MQnnNnwIs82KoIKyTz Ms0cTI6EJU8W32Wg4CA4bDAd8t4ehLOAetEIdO1JNJ09eYghhY7nOBceDhuI QjPHJJrToW6YeYJdQQfzgVNEgvVvprEWP5veLDxnbI0qyxmZRRNp41V9spsG vOwV6pMDZEeumvF/aEb4/vslp5Ow9zOscaOyJlxRXVMzp2OlJbnWeqiyGXqX rnRlguZo+IcSQuosNnCTuiG5sv3X4r5cxc35xATCnCWFke5RAIKjR8qaEgwH 8JAFmvYw1LT/eNrClLyfEyoAUqGuAE7dKiXIi5exhTBsSPEYrgwHnQWAx7YC OiJgljHIECTrESQKgTAzS97cCOXssDgzcFDqt/4Ys1A0mdKBEGM9HOMiooNz mDp/4jyzLQW0iH7JBuLJDYknG4iXKy+0IEqwDI8TZSg+2B0zX+V+R71eQBx3 6sRd/tmJe/VMR5IbkCwPwJ7shgiA2AnpiUu9xbrwB2NOT+18yBgiRqxG6ZKp tf72Yzn9EW+IVYaO9Ewbo076qWnI+MBYwd9H3UWUyGueTVdTeziGh2PmaPpn +7mMaQhndPHPF8PocrmkAvFX/8z+M+0vhooBqCf8lf0ZBGpEsgzJ0ao7S7CZ Oytcfp9zA7kjJZXLYmdB7r2pdpO8GW+o8CxgsgyZLIFygsk1rYXDu4k0UpGJ MuqMSxWdM05Sbp3kSuZRE6Ne79aU/HKq9CwpbR9n1XlO0GxRnbeLud5qhsqJ mXL92ihkRls1fEYcXoMg8r7vhnzRxZgNo4QV91JUGmJRx70/4xTMUqb2F2/a F5W//5bElsKCNEfUGzKqWr1e18wM7ft/i8TBotDAomCZzBaptEqpNLZIpZ2l ojAuUVsiti2HRCIqDOToPd8uvWYBvfS/LGG/WKs3mTJ2meni7dF4Vkbj8fZo PC2j8cMWdWWVEQm3R6RZRmO4PRql8/ViezQOy2j8sT0apdHtxfZotMtovNwe jU5+OSjLtcWlIP/eZ2VxGqIy6TiLZjUVZpOhEmsbyczOp8S/kcBlQZEuh79D Yf8hFQa3ScrZ8pYWq2E1bd3iSI7zvY3LKDnS9Qd8TXRByeVVYWIbrIb99KrD Ezb8aTO/RsOFG+3Zz9erZFEzvejxknhZH1grS69YzwH7NsbDoniYWTLTum0O Sd91vPMcVp2azw1VLytfL1tSIk5R7SF2hXadB1Bjvc4yCJnAqLnOoYVN4r4y 8Ih9xXQNqHM6yw/Pul/RfKAblM/wMsC0BC7QUQlmYyV6bCIyc9jGuJcXQtlP /Uk3JJ155LPdB+YZQ5+E3qMIQkKmbLf90g/OgX/XKcby/R3XH/Mve9iXQKBf TpJXhljQX2GnBRG6Q774kksz2/pDD9jXVzpC2pbObhn1RtvY4B8KkROXInJi 4/EC0UKDBfiUBojcCLr2Fo5gJimXKrmWVEm5VMlNpEpWpGJxZ+D6IZGLUrHV pno4BkMt4s5xBjHfmAXkgvrzUG4So/Fre9n3FVwdiy9a0Ued4RBs9b0ogkFA onngiS+95TI0jNCf2Sr0GF2cObhLz8XX0EIMntsH02FPbonrGpMa6s/4Vvha nh7bi4x/XxJi+7SmbWph4g00I18tpHvQfL+fTdpeuhMv0cOjh+EjqM/4VTPT zWK5BWyIfbk1fPUyzDAajCFHcbTvUxS3t0k1P4mnchrs4fyvZXXS879N/vxH u1md/9lJq87/VOd/7sj5H/llsC6uX73+FY8Ai/G34HCPYFSX66uyczK5jh7v 3HcYqtqeWpr/5Zm2eNfnf8HuHKb537Zb/PyvbVX5fxetyv9V/r8j+V8FuGs9 A6qAbkH6T+XLPwtqlz8LuhL/kz3H/1ZTxP/q+f+dtCr+V/H/bsX/5CbxP7k9 8T8peheAvTn+85Ow3+QFMJv3/xbv/7E7Fqv/m63DVhX/d9Gq+F/F/zsS/8VT ALo48X+16M/H3oLQz/lUkhU/nrf0EXqw3I3xnz01spf3fzXtw/T9L60Oj//N 6v0vu2lV/K/i/x2J/yzAXav258/R/fODv5CL1/yFjzqvf8515UFXfp4m+7xT +hzTC7BreQi7vkxNHeFZGpSeJa3eB/PPamn+F+8w2MP5D7tzaKfnPw7a/PzH wUGV/3fRqvxf5f87kv9FgLtWBXBr3uuiZFv95qd050+0NP6LZ8z3c/7vMN3/ E+u/drNa/+2kVfG/iv93JP6LAAe6fJnG1TKAGHwLMoBgVJeylbxWa/kz9ED2 7zsKVW1fLc3/8f7yv91M839b5n+7yv+7aFX+r/L/Hcn/scz/8XXyf3xb8n+c yf9m0WZwnKsB4qoGqFr2/Kd8Gd7Oz3/i+r+def6vzc9/WtX5z520Kv9X+f+O 5P/Fi0D1xXs/pbivJ/xdvIsBt+qpP8V1yfGf9C3c+Z70ENC+g1DVqla1qlVt 5+3/VBdASwB4AAA= ---559023410-851401618-901684339=:19826--