Re: [R] Antwort: Re: Way to Plot Multiple Variables and Change Color

[Ulrik Stervbo]

Hi Georg,

you were on the right path - it is all about scale_fill*

The 'problem' as you've discovered is that value is continuous, but
applying scale_fill_manual or others (except scale_fill_gradient) expects
discrete values.

The solution is simply to set the fill with that by using factor():

ggplot(
  d_result,
  aes(variable, y = n, fill = factor(value))) +
  geom_bar(stat = "identity") +
scale_fill_manual(values = RColorBrewer::brewer.pal(4, "Blues"))
or:
 ggplot(
  d_result,
  aes(variable, y = n, fill = factor(value))) +
  geom_bar(stat = "identity") +
  scale_fill_manual(values = c("red","blue", "green", "purple"))

When using colorBrewer (which I highly recommend), I use scale_*_brewer
rather than setting the colour manually:

ggplot(
  d_result,
  aes(variable, y = n, fill = factor(value))) +
  geom_bar(stat = "identity") +
  scale_fill_brewer(palette = "Blues ")

Best,
Ulrik


On Tue, 28 Mar 2017 at 18:21  wrote:

> Hi Richard,
>
> many thanks for your reply.
>
> Your solution is not exactly what I was looking for. I would like to know
> how I can change the colors of the stacked bars in my plot and not use the
> default values. How can this be done?
>
> Kind regards
>
> Georg
>
>
>
>
> Von:"Richard M. Heiberger" 
> An: g.maub...@weinwolf.de,
> Kopie:  r-help 
> Datum:  28.03.2017 17:40
> Betreff:Re: [R] Way to Plot Multiple Variables and Change Color
>
>
>
> I think you are looking for the likert function in the HH package.
> >From ?likert
>
>
> Diverging stacked barcharts for Likert, semantic differential, rating
> scale data, and population pyramids.
>
>
> This will get you started.  Much more fine control is available.  See
> the examples and demo.
>
> ## install.packages("HH") ## if not yet on your system.
>
> library(HH)
>
> AA <- dfr[,-9]
>
> labels <- sort(unique(as.vector(data.matrix(AA
> result.template <- integer(length(labels))
> names(result.template) <- labels
>
> BB <- apply(AA, 2, function(x, result=result.template) {
>   tx <- table(x)
>   result[names(tx)] <- tx
>   result
> }
> )
>
> BB
>
> likert(t(BB), ReferenceZero=0, horizontal=FALSE)
>
>
> On Tue, Mar 28, 2017 at 6:05 AM,   wrote:
> > Hi All,
> >
> > in my current project I have to plot a whole bunch of related variables
> > (item batteries, e.g. How do you rate ... a) Accelaration, b) Horse
> Power,
> > c) Color Palette, etc.) which are all rated on a scale from 1 .. 4.
> >
> > I need to present the results as stacked bar charts where the variables
> > are columns and the percentages of the scales values (1 .. 4) are the
> > chunks of the stacked bar for each variable. To do this I have
> transformed
> > my data from wide to long and calculated the percentage for each
> variable
> > and value. The code for this is as follows:
> >
> > -- cut --
> >
> > dfr <- structure(
> >   list(
> > v07_01 = c(3, 1, 1, 4, 3, 4, 4, 1, 3, 2, 2, 3,
> >4, 4, 4, 1, 1, 3, 3, 4),
> > v07_02 = c(1, 2, 1, 1, 2, 1, 4, 1, 1,
> >4, 4, 1, 4, 4, 1, 3, 2, 3, 3, 1),
> > v07_03 = c(3, 2, 2, 1, 4, 1,
> >2, 3, 3, 1, 4, 2, 3, 1, 4, 1, 4, 2, 2, 3),
> > v07_04 = c(3, 1, 1,
> >4, 2, 4, 4, 2, 2, 2, 4, 1, 2, 1, 3, 1, 2, 4, 1, 4),
> > v07_05 = c(1,
> >2, 2, 2, 4, 4, 1, 1, 4, 4, 2, 1, 2, 1, 4, 1, 2, 4, 1, 4),
> > v07_06 = c(1,
> >2, 1, 2, 1, 1, 3, 4, 3, 2, 2, 3, 3, 2, 4, 2, 3, 1, 4, 3),
> > v07_07 = c(3,
> >2, 3, 3, 1, 1, 3, 3, 4, 4, 1, 3, 1, 3, 2, 4, 1, 2, 3, 4),
> > v07_08 = c(3,
> >2, 1, 2, 2, 2, 3, 3, 4, 4, 1, 1, 1, 2, 3, 1, 4, 2, 2, 4),
> > cased_id = structure(
> >   1:20,
> >   .Label = c(
> > "1",
> > "2",
> > "3",
> > "4",
> > "5",
> > "6",
> > "7",
> > "8",
> > "9",
> > "10",
> > "11",
> > "12",
> > "13",
> > "14",
> > "15",
> > "16",
> > "17",
> > "18",
> > "19",
> > "20"
> >   ),
> >   class = "factor"
> > )
> >   ),
> >   .Names = c(
> > "v07_01",
> > "v07_02",
> > "v07_03",
> > "v07_04",
> > "v07_05",
> > "v07_06",
> > "v07_07",
> > "v07_08",
> > "cased_id"
> >   ),
> >   row.names = c(NA, -20L),
> >   class = c("tbl_df", "tbl",
> > "data.frame")
> > )
> >
> > mdf <- melt(df)
> > d_result <- mdf  %>%
> >   dplyr::group_by(variable) %>%
> >   count(value)
> >
> > ggplot(
> >   d_result,
> >   aes(variable, y = n, fill = value)) +
> >   geom_bar(stat = "identity") +
> >   coord_cartesian(ylim = c(0,100))
> >
> > -- cut --
> >
> > Is there an easier way of doing this, i. e. a way without need to
> > transform the data?
> >
> > How can I change the colors for the data points 1 .. 4?
> >
> > I tried
> >
> > -- cut --
> >
> >   d_result,
> >   aes(variable, y = n, 

[R] Antwort: Re: Way to Plot Multiple Variables and Change Color

[G . Maubach]

Hi Ulrik,

your answer is very valuable to me. If you do not know what I do, others 
don't either. So I should definitely adapt my code.

The result of your code and my code is the same. Thus, I use your code 
cause it is better readable.

My other question was how I can change the color palette for the stacked 
bars. Could you give me a hint where I need to look in ggplot2 
documentation?

Kind regards

Georg




Von:Ulrik Stervbo 
An: g.maub...@weinwolf.de, r-help@r-project.org, 
Datum:  28.03.2017 16:35
Betreff:Re: [R] Way to Plot Multiple Variables and Change Color



Hi Georg,

I am a little unsure of what you want to do, but maybe this:

mdf <- melt(dfr)
d_result <- mdf  %>%
  dplyr::group_by(variable, value) %>%
  summarise(n = n())

ggplot(
  d_result,
  aes(variable, y = n, fill = value)) +
  geom_bar(stat = "identity") 

HTH
Ulrik

On Tue, 28 Mar 2017 at 15:11  wrote:
Hi All,

in my current project I have to plot a whole bunch of related variables
(item batteries, e.g. How do you rate ... a) Accelaration, b) Horse Power,
c) Color Palette, etc.) which are all rated on a scale from 1 .. 4.

I need to present the results as stacked bar charts where the variables
are columns and the percentages of the scales values (1 .. 4) are the
chunks of the stacked bar for each variable. To do this I have transformed
my data from wide to long and calculated the percentage for each variable
and value. The code for this is as follows:

-- cut --

dfr <- structure(
  list(
v07_01 = c(3, 1, 1, 4, 3, 4, 4, 1, 3, 2, 2, 3,
   4, 4, 4, 1, 1, 3, 3, 4),
v07_02 = c(1, 2, 1, 1, 2, 1, 4, 1, 1,
   4, 4, 1, 4, 4, 1, 3, 2, 3, 3, 1),
v07_03 = c(3, 2, 2, 1, 4, 1,
   2, 3, 3, 1, 4, 2, 3, 1, 4, 1, 4, 2, 2, 3),
v07_04 = c(3, 1, 1,
   4, 2, 4, 4, 2, 2, 2, 4, 1, 2, 1, 3, 1, 2, 4, 1, 4),
v07_05 = c(1,
   2, 2, 2, 4, 4, 1, 1, 4, 4, 2, 1, 2, 1, 4, 1, 2, 4, 1, 4),
v07_06 = c(1,
   2, 1, 2, 1, 1, 3, 4, 3, 2, 2, 3, 3, 2, 4, 2, 3, 1, 4, 3),
v07_07 = c(3,
   2, 3, 3, 1, 1, 3, 3, 4, 4, 1, 3, 1, 3, 2, 4, 1, 2, 3, 4),
v07_08 = c(3,
   2, 1, 2, 2, 2, 3, 3, 4, 4, 1, 1, 1, 2, 3, 1, 4, 2, 2, 4),
cased_id = structure(
  1:20,
  .Label = c(
"1",
"2",
"3",
"4",
"5",
"6",
"7",
"8",
"9",
"10",
"11",
"12",
"13",
"14",
"15",
"16",
"17",
"18",
"19",
"20"
  ),
  class = "factor"
)
  ),
  .Names = c(
"v07_01",
"v07_02",
"v07_03",
"v07_04",
"v07_05",
"v07_06",
"v07_07",
"v07_08",
"cased_id"
  ),
  row.names = c(NA, -20L),
  class = c("tbl_df", "tbl",
"data.frame")
)

mdf <- melt(df)
d_result <- mdf  %>%
  dplyr::group_by(variable) %>%
  count(value)

ggplot(
  d_result,
  aes(variable, y = n, fill = value)) +
  geom_bar(stat = "identity") +
  coord_cartesian(ylim = c(0,100))

-- cut --

Is there an easier way of doing this, i. e. a way without need to
transform the data?

How can I change the colors for the data points 1 .. 4?

I tried

-- cut --

  d_result,
  aes(variable, y = n, fill = value)) +
  geom_bar(stat = "identity") +
  coord_cartesian(ylim = c(0,100)) +
  scale_fill_manual(values = RColorBrewer::brewer.pal(4, "Blues"))

-- cut -

but this does not work cause I am mixing continuous and descrete values.

How can I change the colors for the bars?

Kind regards

Georg

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[R] Antwort: Re: Way to Plot Multiple Variables and Change Color

[G . Maubach]

Hi Richard,

many thanks for your reply.

Your solution is not exactly what I was looking for. I would like to know 
how I can change the colors of the stacked bars in my plot and not use the 
default values. How can this be done?

Kind regards

Georg




Von:"Richard M. Heiberger" 
An: g.maub...@weinwolf.de, 
Kopie:  r-help 
Datum:  28.03.2017 17:40
Betreff:Re: [R] Way to Plot Multiple Variables and Change Color



I think you are looking for the likert function in the HH package.
>From ?likert


Diverging stacked barcharts for Likert, semantic differential, rating
scale data, and population pyramids.


This will get you started.  Much more fine control is available.  See
the examples and demo.

## install.packages("HH") ## if not yet on your system.

library(HH)

AA <- dfr[,-9]

labels <- sort(unique(as.vector(data.matrix(AA
result.template <- integer(length(labels))
names(result.template) <- labels

BB <- apply(AA, 2, function(x, result=result.template) {
  tx <- table(x)
  result[names(tx)] <- tx
  result
}
)

BB

likert(t(BB), ReferenceZero=0, horizontal=FALSE)


On Tue, Mar 28, 2017 at 6:05 AM,   wrote:
> Hi All,
>
> in my current project I have to plot a whole bunch of related variables
> (item batteries, e.g. How do you rate ... a) Accelaration, b) Horse 
Power,
> c) Color Palette, etc.) which are all rated on a scale from 1 .. 4.
>
> I need to present the results as stacked bar charts where the variables
> are columns and the percentages of the scales values (1 .. 4) are the
> chunks of the stacked bar for each variable. To do this I have 
transformed
> my data from wide to long and calculated the percentage for each 
variable
> and value. The code for this is as follows:
>
> -- cut --
>
> dfr <- structure(
>   list(
> v07_01 = c(3, 1, 1, 4, 3, 4, 4, 1, 3, 2, 2, 3,
>4, 4, 4, 1, 1, 3, 3, 4),
> v07_02 = c(1, 2, 1, 1, 2, 1, 4, 1, 1,
>4, 4, 1, 4, 4, 1, 3, 2, 3, 3, 1),
> v07_03 = c(3, 2, 2, 1, 4, 1,
>2, 3, 3, 1, 4, 2, 3, 1, 4, 1, 4, 2, 2, 3),
> v07_04 = c(3, 1, 1,
>4, 2, 4, 4, 2, 2, 2, 4, 1, 2, 1, 3, 1, 2, 4, 1, 4),
> v07_05 = c(1,
>2, 2, 2, 4, 4, 1, 1, 4, 4, 2, 1, 2, 1, 4, 1, 2, 4, 1, 4),
> v07_06 = c(1,
>2, 1, 2, 1, 1, 3, 4, 3, 2, 2, 3, 3, 2, 4, 2, 3, 1, 4, 3),
> v07_07 = c(3,
>2, 3, 3, 1, 1, 3, 3, 4, 4, 1, 3, 1, 3, 2, 4, 1, 2, 3, 4),
> v07_08 = c(3,
>2, 1, 2, 2, 2, 3, 3, 4, 4, 1, 1, 1, 2, 3, 1, 4, 2, 2, 4),
> cased_id = structure(
>   1:20,
>   .Label = c(
> "1",
> "2",
> "3",
> "4",
> "5",
> "6",
> "7",
> "8",
> "9",
> "10",
> "11",
> "12",
> "13",
> "14",
> "15",
> "16",
> "17",
> "18",
> "19",
> "20"
>   ),
>   class = "factor"
> )
>   ),
>   .Names = c(
> "v07_01",
> "v07_02",
> "v07_03",
> "v07_04",
> "v07_05",
> "v07_06",
> "v07_07",
> "v07_08",
> "cased_id"
>   ),
>   row.names = c(NA, -20L),
>   class = c("tbl_df", "tbl",
> "data.frame")
> )
>
> mdf <- melt(df)
> d_result <- mdf  %>%
>   dplyr::group_by(variable) %>%
>   count(value)
>
> ggplot(
>   d_result,
>   aes(variable, y = n, fill = value)) +
>   geom_bar(stat = "identity") +
>   coord_cartesian(ylim = c(0,100))
>
> -- cut --
>
> Is there an easier way of doing this, i. e. a way without need to
> transform the data?
>
> How can I change the colors for the data points 1 .. 4?
>
> I tried
>
> -- cut --
>
>   d_result,
>   aes(variable, y = n, fill = value)) +
>   geom_bar(stat = "identity") +
>   coord_cartesian(ylim = c(0,100)) +
>   scale_fill_manual(values = RColorBrewer::brewer.pal(4, "Blues"))
>
> -- cut -
>
> but this does not work cause I am mixing continuous and descrete values.
>
> How can I change the colors for the bars?
>
> Kind regards
>
> Georg
>
> __
> R-help@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.

__
R-help@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.