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. 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.
@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.
____________________________________________________________
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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.
____________________________________________________________
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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]]
>>>
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see
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