Set the background color for quantmod::chart_Series
I have an xts object named adjPrices.xts that contains an OHLC stock price history. The function quantmod::chartSeries, when called as follows, plots this data in a chart with a black background:
chartSeries(adjPrices.xts,
subset = '2014-07-01::2015-07-01',
type = 'bars',
name = paste(symbol, 'Adjusted Prices'),
TA = NULL)
However, quantmod::chart_Series with the same options creates a chart with a white background:
chart_Series(adjPrices.xts,
subset = '2014-07-01::2015-07-01',
type = 'bars',
name = paste(symbol, 'Adjusted Prices'),
TA = NULL)
I want to change the background color of this second plot to black, and I am following the approach suggested in this answer. The color attributes of chart_theme() are
> chart_theme()$col
$`bg`
[1] "#FFFFFF"
$label.bg
[1] "#F0F0F0"
$grid
[1] "#F0F0F0"
$grid2
[1] "#F5F5F5"
$ticks
[1] "#999999"
$labels
[1] "#333333"
$line.col
[1] "darkorange"
$dn.col
[1] "red"
$up.col
[1] NA
$dn.border
[1] "#333333"
$up.border
[1] "#333333"
This suggests to me that I can set the background color to black as follows:
myTheme <- chart_theme()
myTheme$col$`bg` <- "black"
chart_Series(adjPrices.xts,
subset = '2014-07-01::2015-07-01',
theme = myTheme,
type = 'bars',
name = paste(symbol, 'Adjusted Prices'),
TA = NULL)
But the resulting chart still has a white background:
I also tried defining myTheme as follows:
myTheme <- chart_theme()
myTheme$col$`bg` <- "#000000"
but the resulting chart still has a white background.
How can I set a black background when using chart_Series()?
r quantmod
asked Nov 24 '18 at 19:45
RobertRobert
691920
add a comment |
I have an xts object named adjPrices.xts that contains an OHLC stock price history. The function quantmod::chartSeries, when called as follows, plots this data in a chart with a black background:
chartSeries(adjPrices.xts,
subset = '2014-07-01::2015-07-01',
type = 'bars',
name = paste(symbol, 'Adjusted Prices'),
TA = NULL)
However, quantmod::chart_Series with the same options creates a chart with a white background:
chart_Series(adjPrices.xts,
subset = '2014-07-01::2015-07-01',
type = 'bars',
name = paste(symbol, 'Adjusted Prices'),
TA = NULL)
I want to change the background color of this second plot to black, and I am following the approach suggested in this answer. The color attributes of chart_theme() are
> chart_theme()$col
$`bg`
[1] "#FFFFFF"
$label.bg
[1] "#F0F0F0"
$grid
[1] "#F0F0F0"
$grid2
[1] "#F5F5F5"
$ticks
[1] "#999999"
$labels
[1] "#333333"
$line.col
[1] "darkorange"
$dn.col
[1] "red"
$up.col
[1] NA
$dn.border
[1] "#333333"
$up.border
[1] "#333333"
This suggests to me that I can set the background color to black as follows:
myTheme <- chart_theme()
myTheme$col$`bg` <- "black"
chart_Series(adjPrices.xts,
subset = '2014-07-01::2015-07-01',
theme = myTheme,
type = 'bars',
name = paste(symbol, 'Adjusted Prices'),
TA = NULL)
But the resulting chart still has a white background:
I also tried defining myTheme as follows:
myTheme <- chart_theme()
myTheme$col$`bg` <- "#000000"
but the resulting chart still has a white background.
How can I set a black background when using chart_Series()?
r quantmod
asked Nov 24 '18 at 19:45
RobertRobert
691920
add a comment |
I have an xts object named adjPrices.xts that contains an OHLC stock price history. The function quantmod::chartSeries, when called as follows, plots this data in a chart with a black background:
chartSeries(adjPrices.xts,
subset = '2014-07-01::2015-07-01',
type = 'bars',
name = paste(symbol, 'Adjusted Prices'),
TA = NULL)
However, quantmod::chart_Series with the same options creates a chart with a white background:
chart_Series(adjPrices.xts,
subset = '2014-07-01::2015-07-01',
type = 'bars',
name = paste(symbol, 'Adjusted Prices'),
TA = NULL)
I want to change the background color of this second plot to black, and I am following the approach suggested in this answer. The color attributes of chart_theme() are
> chart_theme()$col
$`bg`
[1] "#FFFFFF"
$label.bg
[1] "#F0F0F0"
$grid
[1] "#F0F0F0"
$grid2
[1] "#F5F5F5"
$ticks
[1] "#999999"
$labels
[1] "#333333"
$line.col
[1] "darkorange"
$dn.col
[1] "red"
$up.col
[1] NA
$dn.border
[1] "#333333"
$up.border
[1] "#333333"
This suggests to me that I can set the background color to black as follows:
myTheme <- chart_theme()
myTheme$col$`bg` <- "black"
chart_Series(adjPrices.xts,
subset = '2014-07-01::2015-07-01',
theme = myTheme,
type = 'bars',
name = paste(symbol, 'Adjusted Prices'),
TA = NULL)
But the resulting chart still has a white background:
I also tried defining myTheme as follows:
myTheme <- chart_theme()
myTheme$col$`bg` <- "#000000"
but the resulting chart still has a white background.
How can I set a black background when using chart_Series()?
r quantmod
asked Nov 24 '18 at 19:45
RobertRobert
691920
I have an xts object named adjPrices.xts that contains an OHLC stock price history. The function quantmod::chartSeries, when called as follows, plots this data in a chart with a black background:
chartSeries(adjPrices.xts,
subset = '2014-07-01::2015-07-01',
type = 'bars',
name = paste(symbol, 'Adjusted Prices'),
TA = NULL)
However, quantmod::chart_Series with the same options creates a chart with a white background:
chart_Series(adjPrices.xts,
subset = '2014-07-01::2015-07-01',
type = 'bars',
name = paste(symbol, 'Adjusted Prices'),
TA = NULL)
I want to change the background color of this second plot to black, and I am following the approach suggested in this answer. The color attributes of chart_theme() are
> chart_theme()$col
$`bg`
[1] "#FFFFFF"
$label.bg
[1] "#F0F0F0"
$grid
[1] "#F0F0F0"
$grid2
[1] "#F5F5F5"
$ticks
[1] "#999999"
$labels
[1] "#333333"
$line.col
[1] "darkorange"
$dn.col
[1] "red"
$up.col
[1] NA
$dn.border
[1] "#333333"
$up.border
[1] "#333333"
This suggests to me that I can set the background color to black as follows:
myTheme <- chart_theme()
myTheme$col$`bg` <- "black"
chart_Series(adjPrices.xts,
subset = '2014-07-01::2015-07-01',
theme = myTheme,
type = 'bars',
name = paste(symbol, 'Adjusted Prices'),
TA = NULL)
But the resulting chart still has a white background:
I also tried defining myTheme as follows:
myTheme <- chart_theme()
myTheme$col$`bg` <- "#000000"
but the resulting chart still has a white background.
How can I set a black background when using chart_Series()?
r quantmod
r quantmod
asked Nov 24 '18 at 19:45
RobertRobert
691920
asked Nov 24 '18 at 19:45
RobertRobert
691920
asked Nov 24 '18 at 19:45
RobertRobert
691920
asked Nov 24 '18 at 19:45
RobertRobert
691920
asked Nov 24 '18 at 19:45
RobertRobert
691920
691920
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
At the moment you can't. There is an old not yet resolved issue #25 for this on github. A workaround would be calling on the R graphical parameters with par:
This will create a black background.
par_old <- par(bg = "black")
chart_Series(SPY)
par(par_old)
Some other workarounds are using rtsplot. Based on R base graphics and has on option to draw candle charts. Background colours are set via par:
rtsplot::rtsplot(SPY, type = "candle")
xts has a plotting environment plot.xts, but that one doesn't handle candle bars.
Tidyquant has geom_candlestick for ggplot2, but these fail at the moment if you use ggplot2 > 3.0. See this tidyquant github issue
answered Nov 25 '18 at 12:22
phiverphiver
13k92634
add a comment |
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1 Answer
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1 Answer
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active
oldest
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oldest
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votes
At the moment you can't. There is an old not yet resolved issue #25 for this on github. A workaround would be calling on the R graphical parameters with par:
This will create a black background.
par_old <- par(bg = "black")
chart_Series(SPY)
par(par_old)
Some other workarounds are using rtsplot. Based on R base graphics and has on option to draw candle charts. Background colours are set via par:
rtsplot::rtsplot(SPY, type = "candle")
xts has a plotting environment plot.xts, but that one doesn't handle candle bars.
Tidyquant has geom_candlestick for ggplot2, but these fail at the moment if you use ggplot2 > 3.0. See this tidyquant github issue
answered Nov 25 '18 at 12:22
phiverphiver
13k92634
add a comment |
At the moment you can't. There is an old not yet resolved issue #25 for this on github. A workaround would be calling on the R graphical parameters with par:
This will create a black background.
par_old <- par(bg = "black")
chart_Series(SPY)
par(par_old)
Some other workarounds are using rtsplot. Based on R base graphics and has on option to draw candle charts. Background colours are set via par:
rtsplot::rtsplot(SPY, type = "candle")
xts has a plotting environment plot.xts, but that one doesn't handle candle bars.
Tidyquant has geom_candlestick for ggplot2, but these fail at the moment if you use ggplot2 > 3.0. See this tidyquant github issue
answered Nov 25 '18 at 12:22
phiverphiver
13k92634
add a comment |
At the moment you can't. There is an old not yet resolved issue #25 for this on github. A workaround would be calling on the R graphical parameters with par:
This will create a black background.
par_old <- par(bg = "black")
chart_Series(SPY)
par(par_old)
Some other workarounds are using rtsplot. Based on R base graphics and has on option to draw candle charts. Background colours are set via par:
rtsplot::rtsplot(SPY, type = "candle")
xts has a plotting environment plot.xts, but that one doesn't handle candle bars.
Tidyquant has geom_candlestick for ggplot2, but these fail at the moment if you use ggplot2 > 3.0. See this tidyquant github issue
answered Nov 25 '18 at 12:22
phiverphiver
13k92634
At the moment you can't. There is an old not yet resolved issue #25 for this on github. A workaround would be calling on the R graphical parameters with par:
This will create a black background.
par_old <- par(bg = "black")
chart_Series(SPY)
par(par_old)
Some other workarounds are using rtsplot. Based on R base graphics and has on option to draw candle charts. Background colours are set via par:
rtsplot::rtsplot(SPY, type = "candle")
xts has a plotting environment plot.xts, but that one doesn't handle candle bars.
Tidyquant has geom_candlestick for ggplot2, but these fail at the moment if you use ggplot2 > 3.0. See this tidyquant github issue
answered Nov 25 '18 at 12:22
phiverphiver
13k92634
answered Nov 25 '18 at 12:22
phiverphiver
13k92634
answered Nov 25 '18 at 12:22
phiverphiver
13k92634
answered Nov 25 '18 at 12:22
phiverphiver
13k92634
13k92634
add a comment |
add a comment |
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