Dear all, I need help to get different 68 plots specifc fitted curves in one plot with respective field data observations (age vs dominant height). aspdomH2<-groupedData(domH2~age|plotno,data=aspdomH2) names(aspdomH2) plotno, age, origin, soilcharacter, domH2, plotno-different plot no. I have 68 plots age- every plot have from age 5 to 30 years origin- two, native aspen and hybrid aspen domH2<-dominant height soilcharacter-3, clay, silt and mold. both origin have different soil charcter #### then I fit model fm2cham.nlme<-nlme(domH2~cham(age,b0,b1,b2), data=aspdomH2, fixed = list(b0~1+origin+soilcharacter,b1~ 1,b2 ~ 1+origin+soilcharacter), random = b0+b2~1|plotno, start=c(b0=26.3387,0,0,0,b1=0.1065,b2=1.9453,0,0,0), weights=varPower(form = ~age, 0.5), correlation=corAR1()) #### parameter values Fixed effects: list(b0 ~ 1 + origin + soil character, b1 ~ 1, b2 ~ 1 + origin + soil character) Value b0.(Intercept) 21.081124 b0.origin1 7.735064 b0.soilcharactermold 10.689051 b0.soilcharactersilt 3.906585 b1 0.079035 b2.(Intercept) 1.616360 b2.origin1 -0.384421 b2.soilcharactermold 0.612285 b2.soilcharactersilt 0.527462 ##### I can easily get the augmented plot. I got different 68 plots specific curves. ####### Any body can help me how can I will get all 68 plots specific fitted curves in one plot with respective plot specific age and dominant height obervations? (x axis will represent age, y axis will represent dominant height and fitted curves of all 68 plots) [[alternative HTML version deleted]]
Hi Your example is not reproducible, but I presume you could use ggplot together with predict. However, I wonder how do you want to distinguish 68 curves in one picture. I would Cheers Petr> -----Original Message----- > From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Mir > Salam > Sent: Sunday, March 08, 2015 10:57 PM > To: r-help at r-project.org > Subject: [R] graphs > > Dear all, > > I need help to get different 68 plots specifc fitted curves in one > plot with respective field data observations (age vs dominant height). > > > > aspdomH2<-groupedData(domH2~age|plotno,data=aspdomH2) > > > > names(aspdomH2) > > plotno, age, origin, soilcharacter, domH2, > > > > plotno-different plot no. I have 68 plots > > age- every plot have from age 5 to 30 years > > origin- two, native aspen and hybrid aspen > > domH2<-dominant height > > soilcharacter-3, clay, silt and mold. both origin have different soil > charcter > > > > #### then I fit model > > fm2cham.nlme<-nlme(domH2~cham(age,b0,b1,b2), > data=aspdomH2, > fixed = list(b0~1+origin+soilcharacter,b1~ 1,b2 ~ > 1+origin+soilcharacter), > random = b0+b2~1|plotno, > start=c(b0=26.3387,0,0,0,b1=0.1065,b2=1.9453,0,0,0), > weights=varPower(form = ~age, 0.5), > correlation=corAR1()) > > > > #### parameter values > > Fixed effects: list(b0 ~ 1 + origin + soil character, b1 ~ 1, b2 ~ 1 + > origin + soil character) > > Value > b0.(Intercept) 21.081124 > b0.origin1 7.735064 > b0.soilcharactermold 10.689051 > b0.soilcharactersilt 3.906585 > b1 0.079035 > b2.(Intercept) 1.616360 > b2.origin1 -0.384421 > b2.soilcharactermold 0.612285 > b2.soilcharactersilt 0.527462 > > > > ##### I can easily get the augmented plot. I got different 68 plots > specific curves. > > ####### > > Any body can help me how can I will get all 68 plots specific fitted > curves in one plot with respective plot specific age and dominant > height obervations? (x axis will represent age, y axis will represent > dominant height and fitted curves of all 68 plots) > > > > > > > > > > [[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.________________________________ Tento e-mail a jak?koliv k n?mu p?ipojen? dokumenty jsou d?v?rn? a jsou ur?eny pouze jeho adres?t?m. Jestli?e jste obdr?el(a) tento e-mail omylem, informujte laskav? neprodlen? jeho odes?latele. Obsah tohoto emailu i s p??lohami a jeho kopie vyma?te ze sv?ho syst?mu. 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@Petr I agree. I think Mir would get a totally unreadable graph. I occasionally look at some spagetti graphs from climate research, and I find 8 - 12 lines are incomprehensible (I'm not a subject matter expert)' @Mir Is there any logical way to break down the data ? I think Petr is correct in that ggplot2 should be able to do it but I'd suggest thinking about, perhaps, facetting the data to produce some reasonable number of panels. Here is a simple three-panel plot to illustrate what I mean but I have easily produced a 9 or 10 panel plot which reduces visual clutter immensely. library(plyr) library(ggplot2) df1 = data.frame(basel_asset_class = c("bank","bank","bank","bank","bank","bank","bank","corporate","corporate","corporate","corporate","corporate","corporate","corporate","sovereign","sovereign","sovereign","sovereign","sovereign","sovereign","sovereign"), ratings = c("AAA","AA","A","BBB","BB","B","CCC","AAA","AA","A","BBB","BB","B","CCC","AAA","AA","A","BBB","BB","B","CCC"), default_probability = c(0.0027,0.0029,0.0031,0.0034,0.0037,0.004,0.0043,0.0025,0.0024,0.0024,0.0023,0.0022,0.0021,0.0021,0.003,0.0031,0.0032,0.0033,0.0034,0.0035,0.0036)) names(df1) <- c("class", "rate", "default") p <- ggplot(df1, aes(rate, default,colour=class)) + geom_point() + facet_grid(class ~.) + theme(legend.position="none") p John Kane Kingston ON Canada> -----Original Message----- > From: petr.pikal at precheza.cz > Sent: Fri, 13 Mar 2015 11:34:42 +0000 > To: mir.salam at uef.fi, r-help at r-project.org > Subject: Re: [R] graphs > > Hi > > Your example is not reproducible, but I presume you could use ggplot > together with predict. However, I wonder how do you want to distinguish > 68 curves in one picture. > I would > > Cheers > Petr > > >> -----Original Message----- >> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Mir >> Salam >> Sent: Sunday, March 08, 2015 10:57 PM >> To: r-help at r-project.org >> Subject: [R] graphs >> >> Dear all, >> >> I need help to get different 68 plots specifc fitted curves in one >> plot with respective field data observations (age vs dominant height). >> >> >> >> aspdomH2<-groupedData(domH2~age|plotno,data=aspdomH2) >> >> >> >> names(aspdomH2) >> >> plotno, age, origin, soilcharacter, domH2, >> >> >> >> plotno-different plot no. I have 68 plots >> >> age- every plot have from age 5 to 30 years >> >> origin- two, native aspen and hybrid aspen >> >> domH2<-dominant height >> >> soilcharacter-3, clay, silt and mold. both origin have different soil >> charcter >> >> >> >> #### then I fit model >> >> fm2cham.nlme<-nlme(domH2~cham(age,b0,b1,b2), >> data=aspdomH2, >> fixed = list(b0~1+origin+soilcharacter,b1~ 1,b2 ~ >> 1+origin+soilcharacter), >> random = b0+b2~1|plotno, >> start=c(b0=26.3387,0,0,0,b1=0.1065,b2=1.9453,0,0,0), >> weights=varPower(form = ~age, 0.5), >> correlation=corAR1()) >> >> >> >> #### parameter values >> >> Fixed effects: list(b0 ~ 1 + origin + soil character, b1 ~ 1, b2 ~ 1 + >> origin + soil character) >> >> Value >> b0.(Intercept) 21.081124 >> b0.origin1 7.735064 >> b0.soilcharactermold 10.689051 >> b0.soilcharactersilt 3.906585 >> b1 0.079035 >> b2.(Intercept) 1.616360 >> b2.origin1 -0.384421 >> b2.soilcharactermold 0.612285 >> b2.soilcharactersilt 0.527462 >> >> >> >> ##### I can easily get the augmented plot. I got different 68 plots >> specific curves. >> >> ####### >> >> Any body can help me how can I will get all 68 plots specific fitted >> curves in one plot with respective plot specific age and dominant >> height obervations? (x axis will represent age, y axis will represent >> dominant height and fitted curves of all 68 plots) >> >> >> >> >> >> >> >> >> >> [[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. > > ________________________________ > Tento e-mail a jak?koliv k n?mu p?ipojen? dokumenty jsou d?v?rn? a jsou > ur?eny pouze jeho adres?t?m. > Jestli?e jste obdr?el(a) tento e-mail omylem, informujte laskav? > neprodlen? jeho odes?latele. Obsah tohoto emailu i s p??lohami a jeho > kopie vyma?te ze sv?ho syst?mu. > Nejste-li zam??len?m adres?tem tohoto emailu, nejste opr?vn?ni tento > email jakkoliv u??vat, roz?i?ovat, kop?rovat ?i zve?ej?ovat. > Odes?latel e-mailu neodpov?d? za eventu?ln? ?kodu zp?sobenou modifikacemi > ?i zpo?d?n?m p?enosu e-mailu. > > V p??pad?, ?e je tento e-mail sou??st? obchodn?ho jedn?n?: > - vyhrazuje si odes?latel pr?vo ukon?it kdykoliv jedn?n? o uzav?en? > smlouvy, a to z jak?hokoliv d?vodu i bez uveden? d?vodu. > - a obsahuje-li nab?dku, je adres?t opr?vn?n nab?dku bezodkladn? > p?ijmout; Odes?latel tohoto e-mailu (nab?dky) vylu?uje p?ijet? nab?dky ze > strany p??jemce s dodatkem ?i odchylkou. > - trv? odes?latel na tom, ?e p??slu?n? smlouva je uzav?ena teprve > v?slovn?m dosa?en?m shody na v?ech jej?ch n?le?itostech. > - odes?latel tohoto emailu informuje, ?e nen? opr?vn?n uzav?rat za > spole?nost ??dn? smlouvy s v?jimkou p??pad?, kdy k tomu byl p?semn? > zmocn?n nebo p?semn? pov??en a takov? pov??en? nebo pln? moc byly > adres?tovi tohoto emailu p??padn? osob?, kterou adres?t zastupuje, > p?edlo?eny nebo jejich existence je adres?tovi ?i osob? j?m zastoupen? > zn?m?. > > This e-mail and any documents attached to it may be confidential and are > intended only for its intended recipients. > If you received this e-mail by mistake, please immediately inform its > sender. Delete the contents of this e-mail with all attachments and its > copies from your system. > If you are not the intended recipient of this e-mail, you are not > authorized to use, disseminate, copy or disclose this e-mail in any > manner. > The sender of this e-mail shall not be liable for any possible damage > caused by modifications of the e-mail or by delay with transfer of the > email. > > In case that this e-mail forms part of business dealings: > - the sender reserves the right to end negotiations about entering into a > contract in any time, for any reason, and without stating any reasoning. > - if the e-mail contains an offer, the recipient is entitled to > immediately accept such offer; The sender of this e-mail (offer) excludes > any acceptance of the offer on the part of the recipient containing any > amendment or variation. > - the sender insists on that the respective contract is concluded only > upon an express mutual agreement on all its aspects. > - the sender of this e-mail informs that he/she is not authorized to > enter into any contracts on behalf of the company except for cases in > which he/she is expressly authorized to do so in writing, and such > authorization or power of attorney is submitted to the recipient or the > person represented by the recipient, or the existence of such > authorization is known to the recipient of the person represented by the > recipient. > ______________________________________________ > 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.____________________________________________________________ Can't remember your password? 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__Dear all, You can see the plot specif curves in the enclosed document. Inclusion of all plot specif curves in one plot may not be look good and finally it will be unreadable. I am agree with Petrr and John. This graph is more readable. Best regards Salam ______________________________________ From: John Kane <jrkrideau at inbox.com> Sent: Friday, March 13, 2015 4:12 PM To: PIKAL Petr; Mir Salam; r-help at r-project.org Subject: Re: [R] graphs @Petr I agree. I think Mir would get a totally unreadable graph. I occasionally look at some spagetti graphs from climate research, and I find 8 - 12 lines are incomprehensible (I'm not a subject matter expert)' @Mir Is there any logical way to break down the data ? I think Petr is correct in that ggplot2 should be able to do it but I'd suggest thinking about, perhaps, facetting the data to produce some reasonable number of panels. Here is a simple three-panel plot to illustrate what I mean but I have easily produced a 9 or 10 panel plot which reduces visual clutter immensely. library(plyr) library(ggplot2) df1 = data.frame(basel_asset_class = c("bank","bank","bank","bank","bank","bank","bank","corporate","corporate","corporate","corporate","corporate","corporate","corporate","sovereign","sovereign","sovereign","sovereign","sovereign","sovereign","sovereign"), ratings = c("AAA","AA","A","BBB","BB","B","CCC","AAA","AA","A","BBB","BB","B","CCC","AAA","AA","A","BBB","BB","B","CCC"), default_probability = c(0.0027,0.0029,0.0031,0.0034,0.0037,0.004,0.0043,0.0025,0.0024,0.0024,0.0023,0.0022,0.0021,0.0021,0.003,0.0031,0.0032,0.0033,0.0034,0.0035,0.0036)) names(df1) <- c("class", "rate", "default") p <- ggplot(df1, aes(rate, default,colour=class)) + geom_point() + facet_grid(class ~.) + theme(legend.position="none") p John Kane Kingston ON Canada> -----Original Message----- > From: petr.pikal at precheza.cz > Sent: Fri, 13 Mar 2015 11:34:42 +0000 > To: mir.salam at uef.fi, r-help at r-project.org > Subject: Re: [R] graphs > > Hi > > Your example is not reproducible, but I presume you could use ggplot > together with predict. However, I wonder how do you want to distinguish > 68 curves in one picture. > I would > > Cheers > Petr > > >> -----Original Message----- >> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Mir >> Salam >> Sent: Sunday, March 08, 2015 10:57 PM >> To: r-help at r-project.org >> Subject: [R] graphs >> >> Dear all, >> >> I need help to get different 68 plots specifc fitted curves in one >> plot with respective field data observations (age vs dominant height). >> >> >> >> aspdomH2<-groupedData(domH2~age|plotno,data=aspdomH2) >> >> >> >> names(aspdomH2) >> >> plotno, age, origin, soilcharacter, domH2, >> >> >> >> plotno-different plot no. I have 68 plots >> >> age- every plot have from age 5 to 30 years >> >> origin- two, native aspen and hybrid aspen >> >> domH2<-dominant height >> >> soilcharacter-3, clay, silt and mold. both origin have different soil >> charcter >> >> >> >> #### then I fit model >> >> fm2cham.nlme<-nlme(domH2~cham(age,b0,b1,b2), >> data=aspdomH2, >> fixed = list(b0~1+origin+soilcharacter,b1~ 1,b2 ~ >> 1+origin+soilcharacter), >> random = b0+b2~1|plotno, >> start=c(b0=26.3387,0,0,0,b1=0.1065,b2=1.9453,0,0,0), >> weights=varPower(form = ~age, 0.5), >> correlation=corAR1()) >> >> >> >> #### parameter values >> >> Fixed effects: list(b0 ~ 1 + origin + soil character, b1 ~ 1, b2 ~ 1 + >> origin + soil character) >> >> Value >> b0.(Intercept) 21.081124 >> b0.origin1 7.735064 >> b0.soilcharactermold 10.689051 >> b0.soilcharactersilt 3.906585 >> b1 0.079035 >> b2.(Intercept) 1.616360 >> b2.origin1 -0.384421 >> b2.soilcharactermold 0.612285 >> b2.soilcharactersilt 0.527462 >> >> >> >> ##### I can easily get the augmented plot. I got different 68 plots >> specific curves. >> >> ####### >> >> Any body can help me how can I will get all 68 plots specific fitted >> curves in one plot with respective plot specific age and dominant >> height obervations? (x axis will represent age, y axis will represent >> dominant height and fitted curves of all 68 plots) >> >> >> >> >> >> >> >> >> >> [[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. > > ________________________________ > Tento e-mail a jak?koliv k n?mu p?ipojen? dokumenty jsou d?v?rn? a jsou > ur?eny pouze jeho adres?t?m. > Jestli?e jste obdr?el(a) tento e-mail omylem, informujte laskav? > neprodlen? jeho odes?latele. Obsah tohoto emailu i s p??lohami a jeho > kopie vyma?te ze sv?ho syst?mu. > Nejste-li zam??len?m adres?tem tohoto emailu, nejste opr?vn?ni tento > email jakkoliv u??vat, roz?i?ovat, kop?rovat ?i zve?ej?ovat. > Odes?latel e-mailu neodpov?d? za eventu?ln? ?kodu zp?sobenou modifikacemi > ?i zpo?d?n?m p?enosu e-mailu. > > V p??pad?, ?e je tento e-mail sou??st? obchodn?ho jedn?n?: > - vyhrazuje si odes?latel pr?vo ukon?it kdykoliv jedn?n? o uzav?en? > smlouvy, a to z jak?hokoliv d?vodu i bez uveden? d?vodu. > - a obsahuje-li nab?dku, je adres?t opr?vn?n nab?dku bezodkladn? > p?ijmout; Odes?latel tohoto e-mailu (nab?dky) vylu?uje p?ijet? nab?dky ze > strany p??jemce s dodatkem ?i odchylkou. > - trv? odes?latel na tom, ?e p??slu?n? smlouva je uzav?ena teprve > v?slovn?m dosa?en?m shody na v?ech jej?ch n?le?itostech. > - odes?latel tohoto emailu informuje, ?e nen? opr?vn?n uzav?rat za > spole?nost ??dn? smlouvy s v?jimkou p??pad?, kdy k tomu byl p?semn? > zmocn?n nebo p?semn? pov??en a takov? pov??en? nebo pln? moc byly > adres?tovi tohoto emailu p??padn? osob?, kterou adres?t zastupuje, > p?edlo?eny nebo jejich existence je adres?tovi ?i osob? j?m zastoupen? > zn?m?. > > This e-mail and any documents attached to it may be confidential and are > intended only for its intended recipients. > If you received this e-mail by mistake, please immediately inform its > sender. Delete the contents of this e-mail with all attachments and its > copies from your system. > If you are not the intended recipient of this e-mail, you are not > authorized to use, disseminate, copy or disclose this e-mail in any > manner. > The sender of this e-mail shall not be liable for any possible damage > caused by modifications of the e-mail or by delay with transfer of the > email. > > In case that this e-mail forms part of business dealings: > - the sender reserves the right to end negotiations about entering into a > contract in any time, for any reason, and without stating any reasoning. > - if the e-mail contains an offer, the recipient is entitled to > immediately accept such offer; The sender of this e-mail (offer) excludes > any acceptance of the offer on the part of the recipient containing any > amendment or variation. > - the sender insists on that the respective contract is concluded only > upon an express mutual agreement on all its aspects. > - the sender of this e-mail informs that he/she is not authorized to > enter into any contracts on behalf of the company except for cases in > which he/she is expressly authorized to do so in writing, and such > authorization or power of attorney is submitted to the recipient or the > person represented by the recipient, or the existence of such > authorization is known to the recipient of the person represented by the > recipient. > ______________________________________________ > 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.____________________________________________________________ Can't remember your password? 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I suspect that this does look a bit easier to interpret. It certainly beats 68 lines on one graph. Still it's a lot of individual subplots. What I was suggesting was grouping all NASS, HASS, etc. together and graphing each so that you get several lines per subplot. I don't know if this makes sense in your context but it should reduce the size of the overall plot. Ugly simple-minded example of what I meant below. library(ggplot2) names <- c('hass', "ham", 'nacs', 'nass') line <- c('alpha', "beta") xval <- 1:4 dat1 <- data.frame(group= rep(names, each = 3, 4), tt = rep(line, each =12 , 2), xx = rep(xval, 12 ), yy = rnorm(48)) p <- ggplot(dat1, aes(xx, yy, colour = tt)) + geom_line() + facet_grid(. ~ group) p John Kane Kingston ON Canada> -----Original Message----- > From: mir.salam at uef.fi > Sent: Fri, 13 Mar 2015 16:27:06 +0000 > To: jrkrideau at inbox.com, petr.pikal at precheza.cz, r-help at r-project.org > Subject: RE: [R] graphs > > > __Dear all, > > You can see the plot specif curves in the enclosed document. Inclusion of > all plot specif curves in one plot may not be look good and finally it > will be unreadable. I am agree with Petrr and John. This graph is more > readable. > > > Best regards > Salam > > > > > > > > > ______________________________________ > From: John Kane <jrkrideau at inbox.com> > Sent: Friday, March 13, 2015 4:12 PM > To: PIKAL Petr; Mir Salam; r-help at r-project.org > Subject: Re: [R] graphs > > @Petr > > I agree. I think Mir would get a totally unreadable graph. I occasionally > look at some spagetti graphs from climate research, and I find 8 - 12 > lines are incomprehensible (I'm not a subject matter expert)' > > @Mir > > Is there any logical way to break down the data ? I think Petr is correct > in that ggplot2 should be able to do it but I'd suggest thinking about, > perhaps, facetting the data to produce some reasonable number of panels. > > Here is a simple three-panel plot to illustrate what I mean but I have > easily produced a 9 or 10 panel plot which reduces visual clutter > immensely. > > library(plyr) library(ggplot2) > > df1 = data.frame(basel_asset_class c("bank","bank","bank","bank","bank","bank","bank","corporate","corporate","corporate","corporate","corporate","corporate","corporate","sovereign","sovereign","sovereign","sovereign","sovereign","sovereign","sovereign"), > ratings c("AAA","AA","A","BBB","BB","B","CCC","AAA","AA","A","BBB","BB","B","CCC","AAA","AA","A","BBB","BB","B","CCC"), > default_probability > c(0.0027,0.0029,0.0031,0.0034,0.0037,0.004,0.0043,0.0025,0.0024,0.0024,0.0023,0.0022,0.0021,0.0021,0.003,0.0031,0.0032,0.0033,0.0034,0.0035,0.0036)) > > names(df1) <- c("class", "rate", "default") > > p <- ggplot(df1, aes(rate, default,colour=class)) + geom_point() + > facet_grid(class ~.) + theme(legend.position="none") > p > > John Kane > Kingston ON Canada > > >> -----Original Message----- >> From: petr.pikal at precheza.cz >> Sent: Fri, 13 Mar 2015 11:34:42 +0000 >> To: mir.salam at uef.fi, r-help at r-project.org >> Subject: Re: [R] graphs >> >> Hi >> >> Your example is not reproducible, but I presume you could use ggplot >> together with predict. However, I wonder how do you want to distinguish >> 68 curves in one picture. >> I would >> >> Cheers >> Petr >> >> >>> -----Original Message----- >>> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Mir >>> Salam >>> Sent: Sunday, March 08, 2015 10:57 PM >>> To: r-help at r-project.org >>> Subject: [R] graphs >>> >>> Dear all, >>> >>> I need help to get different 68 plots specifc fitted curves in one >>> plot with respective field data observations (age vs dominant height). >>> >>> >>> >>> aspdomH2<-groupedData(domH2~age|plotno,data=aspdomH2) >>> >>> >>> >>> names(aspdomH2) >>> >>> plotno, age, origin, soilcharacter, domH2, >>> >>> >>> >>> plotno-different plot no. I have 68 plots >>> >>> age- every plot have from age 5 to 30 years >>> >>> origin- two, native aspen and hybrid aspen >>> >>> domH2<-dominant height >>> >>> soilcharacter-3, clay, silt and mold. both origin have different soil >>> charcter >>> >>> >>> >>> #### then I fit model >>> >>> fm2cham.nlme<-nlme(domH2~cham(age,b0,b1,b2), >>> data=aspdomH2, >>> fixed = list(b0~1+origin+soilcharacter,b1~ 1,b2 ~ >>> 1+origin+soilcharacter), >>> random = b0+b2~1|plotno, >>> start=c(b0=26.3387,0,0,0,b1=0.1065,b2=1.9453,0,0,0), >>> weights=varPower(form = ~age, 0.5), >>> correlation=corAR1()) >>> >>> >>> >>> #### parameter values >>> >>> Fixed effects: list(b0 ~ 1 + origin + soil character, b1 ~ 1, b2 ~ 1 + >>> origin + soil character) >>> >>> Value >>> b0.(Intercept) 21.081124 >>> b0.origin1 7.735064 >>> b0.soilcharactermold 10.689051 >>> b0.soilcharactersilt 3.906585 >>> b1 0.079035 >>> b2.(Intercept) 1.616360 >>> b2.origin1 -0.384421 >>> b2.soilcharactermold 0.612285 >>> b2.soilcharactersilt 0.527462 >>> >>> >>> >>> ##### I can easily get the augmented plot. I got different 68 plots >>> specific curves. >>> >>> ####### >>> >>> Any body can help me how can I will get all 68 plots specific fitted >>> curves in one plot with respective plot specific age and dominant >>> height obervations? (x axis will represent age, y axis will represent >>> dominant height and fitted curves of all 68 plots) >>> >>> >>> >>> >>> >>> >>> >>> >>> >>> [[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. >> >> ________________________________ >> Tento e-mail a jak?koliv k n?mu p?ipojen? dokumenty jsou d?v?rn? a jsou >> ur?eny pouze jeho adres?t?m. >> Jestli?e jste obdr?el(a) tento e-mail omylem, informujte laskav? >> neprodlen? jeho odes?latele. 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