R help - Jan 2019 - Error "sufficient values in manual scale. 10 needed but only 7 provided"

Hi Dear all;

I am getting the "sufficient values in manual scale. 10 needed but only 7
provided." problem when running the followings. Your help is highly
appreciated.

Regards,
Greg

p2<-p1+scale_color_manual(name="Diseases",
labels=c("Myocardial Infarction", "Coronary artery disease",
"Stroke",
"Hypertension", "Depression Anxiety Emotional Problems", 
"Circulatory
Problems", "Diabetes"),

values=c("Myocardial Infarction"="red",  "Coronary
artery
disease"="purple","Stroke"="darkgreen",
 "Hypertension"="orange",  "Depression Anxiety
Emotional
Problems"="darkblue",
 "Circulatory 
Problems"="darkred","Diabetes"="blue"))

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Problem is in your data not matching your values, but you did not share your
data. Try using the unique() function to see what values you have in your data.

I will say that when I want to assign discrete colors I always start by
converting my character column in the data frame to a factor and specify the
order I want to see the levels presented in that conversion step. Then the
colors only need to be specified in that same order and I don't need to keep
repeating the labels in multiple places.

library(ggplot2)

mpg$classf <- factor( mpg$class
???????????????????, levels = c( "2seater"
???????????????????????????????, "subcompact"
???????????????????????????????, "compact"
???????????????????????????????, "midsize"
???????????????????????????????, "minivan"
???????????????????????????????, "suv"
???????????????????????????????, "pickup" 
???????????????????????????????) 
???????????????????)

class_colours <- rainbow( length( levels( mpg$classf ) ) )
ggplot( mpg, aes( x = classf, y = cty, colour=classf ) ) +
?geom_boxplot() +
?scale_colour_manual( name="Class", values = class_colours )




On January 23, 2019 3:12:26 PM PST, greg holly <mak.hholly at gmail.com>
wrote:
>Hi Dear all;
>
>I am getting the "sufficient values in manual scale. 10 needed but only
>7
>provided." problem when running the followings. Your help is highly
>appreciated.
>
>Regards,
>Greg
>
>p2<-p1+scale_color_manual(name="Diseases",
>labels=c("Myocardial Infarction", "Coronary artery
disease", "Stroke",
>"Hypertension", "Depression Anxiety Emotional Problems",
"Circulatory
>Problems", "Diabetes"),
>
>values=c("Myocardial Infarction"="red",  "Coronary
artery
>disease"="purple","Stroke"="darkgreen",
> "Hypertension"="orange",  "Depression Anxiety
Emotional
>Problems"="darkblue",
> "Circulatory 
Problems"="darkred","Diabetes"="blue"))
>
>	[[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.
-- 
Sent from my phone. Please excuse my brevity.

Hi Jeff;

I figured out the problem. I do apologize to you and members in the list to
bother you with this simple problem.

Regards,
Greg

On Wed, Jan 23, 2019 at 6:46 PM Jeff Newmiller <jdnewmil at
dcn.davis.ca.us>
wrote:
> Problem is in your data not matching your values, but you did not share
> your data. Try using the unique() function to see what values you have in
> your data.
>
> I will say that when I want to assign discrete colors I always start by
> converting my character column in the data frame to a factor and specify
> the order I want to see the levels presented in that conversion step. Then
> the colors only need to be specified in that same order and I don't
need to
> keep repeating the labels in multiple places.
>
> library(ggplot2)
>
> mpg$classf <- factor( mpg$class
>                    , levels = c( "2seater"
>                                , "subcompact"
>                                , "compact"
>                                , "midsize"
>                                , "minivan"
>                                , "suv"
>                                , "pickup"
>                                )
>                    )
>
> class_colours <- rainbow( length( levels( mpg$classf ) ) )
> ggplot( mpg, aes( x = classf, y = cty, colour=classf ) ) +
>  geom_boxplot() +
>  scale_colour_manual( name="Class", values = class_colours )
>
>
>
>
> On January 23, 2019 3:12:26 PM PST, greg holly <mak.hholly at
gmail.com>
> wrote:
> >Hi Dear all;
> >
> >I am getting the "sufficient values in manual scale. 10 needed but
only
> >7
> >provided." problem when running the followings. Your help is
highly
> >appreciated.
> >
> >Regards,
> >Greg
> >
> >p2<-p1+scale_color_manual(name="Diseases",
> >labels=c("Myocardial Infarction", "Coronary artery
disease", "Stroke",
> >"Hypertension", "Depression Anxiety Emotional
Problems",  "Circulatory
> >Problems", "Diabetes"),
> >
> >values=c("Myocardial Infarction"="red", 
"Coronary artery
>
>disease"="purple","Stroke"="darkgreen",
> > "Hypertension"="orange",  "Depression Anxiety
Emotional
> >Problems"="darkblue",
> > "Circulatory 
Problems"="darkred","Diabetes"="blue"))
> >
> >       [[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.
>
> --
> Sent from my phone. Please excuse my brevity.
>
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