Rcolorbrewer and ggplot2 R: colormap for geom

Rcolorbrewer and ggplot2 R: colormap for geom_hex

I would like to make this type of figure below in R, which is a combination of marginal histograms and a geom_hex object I think. This is originally a matplotlib seaborn graph.

I can't get it to talk to RColorbrewer. Any thoughts why?

enter image description here

So far I've got:

require(ggplot2)

require(RColorBrewer)

require(ggExtra)

bl<-data.frame(beta=rnorm(100),lambda=rnorm(100))



p<-ggplot(bl,aes(x=beta,y=lambda))+

  stat_bin_hex()+

  #scale_fill_gradient(palette = "Greens") Neither of these work

  #scale_fill_continuous(palette = "Greens")+

  scale_fill_brewer()+

  theme_classic()





  ggExtra::ggMarginal(p, type = "histogram")

Original code:

x, y = np.random.multivariate_normal(mean, cov, 1000).T

with sns.axes_style("white"):

https://seaborn.pydata.org/tutorial/distributions.html

sns.jointplot(x=x, y=y, kind="hex", color="greens");

edited Nov 20 '18 at 15:14

ImportanceOfBeingErnest

135k13151226

asked Nov 20 '18 at 15:04

HCAI

59951439

1

You need to assign a variable to the fill. You do this inside your aes call. The usage section on the front page of the ggplot2 docs gives an example

– camille
Nov 20 '18 at 15:41

add a comment |

I would like to make this type of figure below in R, which is a combination of marginal histograms and a geom_hex object I think. This is originally a matplotlib seaborn graph.

I can't get it to talk to RColorbrewer. Any thoughts why?

enter image description here

So far I've got:

require(ggplot2)

require(RColorBrewer)

require(ggExtra)

bl<-data.frame(beta=rnorm(100),lambda=rnorm(100))



p<-ggplot(bl,aes(x=beta,y=lambda))+

  stat_bin_hex()+

  #scale_fill_gradient(palette = "Greens") Neither of these work

  #scale_fill_continuous(palette = "Greens")+

  scale_fill_brewer()+

  theme_classic()





  ggExtra::ggMarginal(p, type = "histogram")

Original code:

x, y = np.random.multivariate_normal(mean, cov, 1000).T

with sns.axes_style("white"):

https://seaborn.pydata.org/tutorial/distributions.html

sns.jointplot(x=x, y=y, kind="hex", color="greens");

edited Nov 20 '18 at 15:14

ImportanceOfBeingErnest

135k13151226

asked Nov 20 '18 at 15:04

HCAI

59951439

1

You need to assign a variable to the fill. You do this inside your aes call. The usage section on the front page of the ggplot2 docs gives an example

– camille
Nov 20 '18 at 15:41

add a comment |

I would like to make this type of figure below in R, which is a combination of marginal histograms and a geom_hex object I think. This is originally a matplotlib seaborn graph.

I can't get it to talk to RColorbrewer. Any thoughts why?

enter image description here

So far I've got:

require(ggplot2)

require(RColorBrewer)

require(ggExtra)

bl<-data.frame(beta=rnorm(100),lambda=rnorm(100))



p<-ggplot(bl,aes(x=beta,y=lambda))+

  stat_bin_hex()+

  #scale_fill_gradient(palette = "Greens") Neither of these work

  #scale_fill_continuous(palette = "Greens")+

  scale_fill_brewer()+

  theme_classic()





  ggExtra::ggMarginal(p, type = "histogram")

Original code:

x, y = np.random.multivariate_normal(mean, cov, 1000).T

with sns.axes_style("white"):

https://seaborn.pydata.org/tutorial/distributions.html

sns.jointplot(x=x, y=y, kind="hex", color="greens");

edited Nov 20 '18 at 15:14

ImportanceOfBeingErnest

135k13151226

asked Nov 20 '18 at 15:04

HCAI

59951439

I would like to make this type of figure below in R, which is a combination of marginal histograms and a geom_hex object I think. This is originally a matplotlib seaborn graph.

I can't get it to talk to RColorbrewer. Any thoughts why?

enter image description here

So far I've got:

require(ggplot2)

require(RColorBrewer)

require(ggExtra)

bl<-data.frame(beta=rnorm(100),lambda=rnorm(100))



p<-ggplot(bl,aes(x=beta,y=lambda))+

  stat_bin_hex()+

  #scale_fill_gradient(palette = "Greens") Neither of these work

  #scale_fill_continuous(palette = "Greens")+

  scale_fill_brewer()+

  theme_classic()





  ggExtra::ggMarginal(p, type = "histogram")

Original code:

x, y = np.random.multivariate_normal(mean, cov, 1000).T

with sns.axes_style("white"):

https://seaborn.pydata.org/tutorial/distributions.html

sns.jointplot(x=x, y=y, kind="hex", color="greens");

r matplotlib ggplot2 seaborn

edited Nov 20 '18 at 15:14

ImportanceOfBeingErnest

135k13151226

asked Nov 20 '18 at 15:04

HCAI

59951439

edited Nov 20 '18 at 15:14

ImportanceOfBeingErnest

135k13151226

asked Nov 20 '18 at 15:04

HCAI

59951439

edited Nov 20 '18 at 15:14

ImportanceOfBeingErnest

135k13151226

edited Nov 20 '18 at 15:14

ImportanceOfBeingErnest

135k13151226

edited Nov 20 '18 at 15:14

ImportanceOfBeingErnest

135k13151226

asked Nov 20 '18 at 15:04

HCAI

59951439

asked Nov 20 '18 at 15:04

HCAI

59951439

asked Nov 20 '18 at 15:04

HCAI

59951439

1

You need to assign a variable to the fill. You do this inside your aes call. The usage section on the front page of the ggplot2 docs gives an example

– camille
Nov 20 '18 at 15:41

add a comment |

1

You need to assign a variable to the fill. You do this inside your aes call. The usage section on the front page of the ggplot2 docs gives an example

– camille
Nov 20 '18 at 15:41

You need to assign a variable to the fill. You do this inside your aes call. The usage section on the front page of the ggplot2 docs gives an example

– camille
Nov 20 '18 at 15:41

add a comment |

1 Answer
1

active

oldest

votes

You can use scale_fill_gradientn and pass in the palette using brewer.pal. Then you just need to pass in the right fill and color to ggMarginal

library(ggplot2)

library(RColorBrewer)

library(ggExtra)



bl <- data.frame(beta=rnorm(10000),lambda=rnorm(10000))



p <- ggplot(bl, aes(x=beta, y = lambda))+

  stat_bin_hex() +

  scale_fill_gradientn(colors = brewer.pal(3,"Greens")) +

  theme_classic() +

  theme(legend.position = "bottom")



ggMarginal(p, type = "histogram", fill = brewer.pal(3,"Greens")[1], color = "white")

^{Created on 2018-11-20 by the reprex package (v0.2.1)}

answered Nov 20 '18 at 15:38

Jake Kaupp

5,67721428

Great! Without RColorBrewer it's possible to do inside state_binhex. Like this stat_binhex(aes(alpha=..count..), fill="forestgreen")

– atsyplenkov
Nov 20 '18 at 15:44

Oooh cool! Looks good thank you! Can I make it darker?

– HCAI
Nov 20 '18 at 15:49

You can make it darker by changing the values passed in scale_color_gradientn.

– Jake Kaupp
Nov 20 '18 at 15:57

add a comment |

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1 Answer
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oldest

votes

You can use scale_fill_gradientn and pass in the palette using brewer.pal. Then you just need to pass in the right fill and color to ggMarginal

library(ggplot2)

library(RColorBrewer)

library(ggExtra)



bl <- data.frame(beta=rnorm(10000),lambda=rnorm(10000))



p <- ggplot(bl, aes(x=beta, y = lambda))+

  stat_bin_hex() +

  scale_fill_gradientn(colors = brewer.pal(3,"Greens")) +

  theme_classic() +

  theme(legend.position = "bottom")



ggMarginal(p, type = "histogram", fill = brewer.pal(3,"Greens")[1], color = "white")

^{Created on 2018-11-20 by the reprex package (v0.2.1)}

answered Nov 20 '18 at 15:38

Jake Kaupp

5,67721428

Great! Without RColorBrewer it's possible to do inside state_binhex. Like this stat_binhex(aes(alpha=..count..), fill="forestgreen")

– atsyplenkov
Nov 20 '18 at 15:44

Oooh cool! Looks good thank you! Can I make it darker?

– HCAI
Nov 20 '18 at 15:49

You can make it darker by changing the values passed in scale_color_gradientn.

– Jake Kaupp
Nov 20 '18 at 15:57

add a comment |

You can use scale_fill_gradientn and pass in the palette using brewer.pal. Then you just need to pass in the right fill and color to ggMarginal

library(ggplot2)

library(RColorBrewer)

library(ggExtra)



bl <- data.frame(beta=rnorm(10000),lambda=rnorm(10000))



p <- ggplot(bl, aes(x=beta, y = lambda))+

  stat_bin_hex() +

  scale_fill_gradientn(colors = brewer.pal(3,"Greens")) +

  theme_classic() +

  theme(legend.position = "bottom")



ggMarginal(p, type = "histogram", fill = brewer.pal(3,"Greens")[1], color = "white")

^{Created on 2018-11-20 by the reprex package (v0.2.1)}

answered Nov 20 '18 at 15:38

Jake Kaupp

5,67721428

Great! Without RColorBrewer it's possible to do inside state_binhex. Like this stat_binhex(aes(alpha=..count..), fill="forestgreen")

– atsyplenkov
Nov 20 '18 at 15:44

Oooh cool! Looks good thank you! Can I make it darker?

– HCAI
Nov 20 '18 at 15:49

You can make it darker by changing the values passed in scale_color_gradientn.

– Jake Kaupp
Nov 20 '18 at 15:57

add a comment |

You can use scale_fill_gradientn and pass in the palette using brewer.pal. Then you just need to pass in the right fill and color to ggMarginal

library(ggplot2)

library(RColorBrewer)

library(ggExtra)



bl <- data.frame(beta=rnorm(10000),lambda=rnorm(10000))



p <- ggplot(bl, aes(x=beta, y = lambda))+

  stat_bin_hex() +

  scale_fill_gradientn(colors = brewer.pal(3,"Greens")) +

  theme_classic() +

  theme(legend.position = "bottom")



ggMarginal(p, type = "histogram", fill = brewer.pal(3,"Greens")[1], color = "white")

^{Created on 2018-11-20 by the reprex package (v0.2.1)}

answered Nov 20 '18 at 15:38

Jake Kaupp

5,67721428

You can use scale_fill_gradientn and pass in the palette using brewer.pal. Then you just need to pass in the right fill and color to ggMarginal

library(ggplot2)

library(RColorBrewer)

library(ggExtra)



bl <- data.frame(beta=rnorm(10000),lambda=rnorm(10000))



p <- ggplot(bl, aes(x=beta, y = lambda))+

  stat_bin_hex() +

  scale_fill_gradientn(colors = brewer.pal(3,"Greens")) +

  theme_classic() +

  theme(legend.position = "bottom")



ggMarginal(p, type = "histogram", fill = brewer.pal(3,"Greens")[1], color = "white")

^{Created on 2018-11-20 by the reprex package (v0.2.1)}

answered Nov 20 '18 at 15:38

Jake Kaupp

5,67721428

answered Nov 20 '18 at 15:38

Jake Kaupp

5,67721428

answered Nov 20 '18 at 15:38

Jake Kaupp

5,67721428

answered Nov 20 '18 at 15:38

Jake Kaupp

5,67721428

Great! Without RColorBrewer it's possible to do inside state_binhex. Like this stat_binhex(aes(alpha=..count..), fill="forestgreen")

– atsyplenkov
Nov 20 '18 at 15:44

Oooh cool! Looks good thank you! Can I make it darker?

– HCAI
Nov 20 '18 at 15:49

You can make it darker by changing the values passed in scale_color_gradientn.

– Jake Kaupp
Nov 20 '18 at 15:57

add a comment |

Great! Without RColorBrewer it's possible to do inside state_binhex. Like this stat_binhex(aes(alpha=..count..), fill="forestgreen")

– atsyplenkov
Nov 20 '18 at 15:44

Oooh cool! Looks good thank you! Can I make it darker?

– HCAI
Nov 20 '18 at 15:49

You can make it darker by changing the values passed in scale_color_gradientn.

– Jake Kaupp
Nov 20 '18 at 15:57

Great! Without RColorBrewer it's possible to do inside state_binhex. Like this stat_binhex(aes(alpha=..count..), fill="forestgreen")

– atsyplenkov
Nov 20 '18 at 15:44

Oooh cool! Looks good thank you! Can I make it darker?

– HCAI
Nov 20 '18 at 15:49

You can make it darker by changing the values passed in scale_color_gradientn.

– Jake Kaupp
Nov 20 '18 at 15:57

add a comment |

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