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

2017-03-28 Thread Richard M. Heiberger 
The colors can be specified with the standard lattice "col=" argument.

likert(t(BB), ReferenceZero=0, horizontal=FALSE,
   col=RColorBrewer::brewer.pal(4, "Blues"))

Most other customizations you might need are also possible.  Many examples
are in the examples section of ?likert and in the demo.

Rich


On Tue, Mar 28, 2017 at 8:56 AM,  <g.maub...@weinwolf.de> 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" <r...@temple.edu>
> An: g.maub...@weinwolf.de,
> Kopie:  r-help <r-help@r-project.org>
> 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,  <g.maub...@weinwolf.de> 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(vari

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

2017-03-28 Thread Richard M. Heiberger 
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.

__
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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Re: [R] Way to Plot Multiple Variables and Change Color

2017-03-28 Thread Ulrik Stervbo 
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
>
> __
> 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.
>

[[alternative HTML version deleted]]

__
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and provide commented, minimal, self-contained, reproducible code.

[R] Way to Plot Multiple Variables and Change Color

2017-03-28 Thread G . Maubach 
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.