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...legend in itself inserting my custom text :) Take for example the 1st graph in this tutorial http://www.sthda.com/english/wiki/ggpubr-r-package-ggplot2-based-publication-ready-plots I want to change the "sex" in "sex subscript 2" or " (sex/sex[2]+Q) Thanks again, Marios Barlas PhD Candidate CMOS & Memory Integration Advanced Memory Group Leti, technology research institute Commissariat ? l??nergie atomique et aux ?nergies alternatives T. +33 4 38 78 11 50 M. +33 6 02 61 83 49 www.leti.fr | Leti is a member of the Carnot Institutes network -----Message d'ori...

...t;, aesthetic= " Content (%)" ) but it wont' seem to work. Also tried bquote for super/ subscripts xlab(bquote(~x~/(~x~ + ~MO[2]~)* '(%)')) but I get an error that the / operator is not recognized. Any ideas on how I can solve these issues ? Thanks in advance, Marios Barlas

...ut it wont' seem to work" how can we know what does it mean? Plotmath expressions are rather tricky, especially if you do not use them often. You need some experimenting. Cheers Petr > -----Original Message----- > From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of BARLAS > Marios 247554 > Sent: Thursday, June 29, 2017 11:47 AM > To: r-help at r-project.org > Subject: [R] Changing ggplot2 legend key/title to custom text > > Hi all, > > ok I have this issue: > > I want to change my graphs legends to custom text, often requiring the use...

...d as much as possible, probably. Does any1 have some functions in mind that can help with parts of this problem ? It's not impossible to write the algorithm but it will take time and things like convergence and robustness need to be checked.... ! thank you for your help. Best regards, Marios Barlas [[alternative HTML version deleted]]

...s driving me crazy, in the first trial it worked but right now the output of optim for the parameter to get optimized is EXACTLY the same as the initial estimate whatever the initial estimate value is. Please, any ideas why ? I can't see the error at this moment. Thanks in advance, Marios Barlas

...; return(total.err) > } > > soln <- optim(par = 300, fn=err.th.scalar, data = data.input, method = > "BFGS") > soln > require("numDeriv") > gtest <- grad(err.th.scalar, x=300, data = data.input) > gtest > > > On 2018-02-09 09:05 AM, BARLAS Marios 247554 wrote: >> data.input= data.frame(state1 = (1:500), state2 = (201:700) ) >> >> with data that partially overlap in terms of values. >> >> I want to minimize the assessment error of each state by using this function: >> >> err.th.scalar <- f...

...s of both X and Y are optimized. Does any1 have some functions in mind that can help with parts of this problem ? It's not impossible to write the algorithm but it will take time and things like convergence and robustness need to be checked.... ! thank you for your help. Best regards, Marios Barlas [[alternative HTML version deleted]]