Heatmaps

[hfz.ali....@gmail.com]

Hi,
I am trying to plot heatmap with huge data matrix, can someone help me how I can construct heatmap similar to attached image.

Thanks

[Kavee L]

Hi,

How about this (it is not an optimal solution):

df <- read_csv("heatmap.csv")
df %>% gather(x,value, -X1) %>%
       mutate(x = as.integer(x)) %>%
       ggplot(aes(x=x, y=X1, color= value)) + geom_point()

Best,

Kavee

[David Kahle]

Have you tried geom_raster()?

david.

On Dec 13, 2018, at 1:40 PM, Kavee L <xcub...@gmail.com> wrote:

Hi,

How about this (it is not an optimal solution):

df <- read_csv("heatmap.csv")
df %>% gather(x,value, -X1) %>%
       mutate(x = as.integer(x)) %>%
       ggplot(aes(x=x, y=X1, color= value)) + geom_point()

Best,

Kavee

<Rplot03.png>

<Rplot01.png>

On Thursday, October 11, 2018 at 7:23:02 AM UTC-4, hfz.ali....@gmail.com wrote:

Hi,
I am trying to plot heatmap with huge data matrix, can someone help me how I can construct heatmap similar to attached image.

Thanks

--
--
You received this message because you are subscribed to the ggplot2 mailing list.
Please provide a reproducible example: https://github.com/hadley/devtools/wiki/Reproducibility
 
To post: email ggp...@googlegroups.com
To unsubscribe: email ggplot2+u...@googlegroups.com
More options: http://groups.google.com/group/ggplot2

---
You received this message because you are subscribed to the Google Groups "ggplot2" group.
To unsubscribe from this group and stop receiving emails from it, send an email to ggplot2+u...@googlegroups.com.
For more options, visit https://groups.google.com/d/optout.
<Rplot03.png><Rplot01.png>

===================================

David J. Kahle, Ph.D.
Associate Professor
Department of Statistical Science
Baylor University
www.kahle.io

[Kavee L]

Something like this ?

df <- read_csv("heatmap.csv")
df %>% gather(x,value, -X1) %>% 
       mutate(x = as.integer(x)) %>% 


       ggplot(aes(x=x, y=X1, fill= value)) + geom_raster()

It is more efficient, right?

Thank you for the suggestion. (I'm still a newbie)

Best,

Kavee

On Thursday, December 13, 2018 at 3:45:54 PM UTC-5, David Kahle wrote:

Have you tried geom_raster()?

david.

On Dec 13, 2018, at 1:40 PM, Kavee L <xcub...@gmail.com> wrote:

Hi,

How about this (it is not an optimal solution):

df <- read_csv("heatmap.csv")
df %>% gather(x,value, -X1) %>%
       mutate(x = as.integer(x)) %>%
       ggplot(aes(x=x, y=X1, color= value)) + geom_point()

Best,

Kavee

<Rplot03.png>

<Rplot01.png>

On Thursday, October 11, 2018 at 7:23:02 AM UTC-4, hfz.ali....@gmail.com wrote:

Hi,
I am trying to plot heatmap with huge data matrix, can someone help me how I can construct heatmap similar to attached image.

Thanks

--
--
You received this message because you are subscribed to the ggplot2 mailing list.
Please provide a reproducible example: https://github.com/hadley/devtools/wiki/Reproducibility
 

To post: email ...@googlegroups.com
To unsubscribe: email ggplot...@googlegroups.com

More options: http://groups.google.com/group/ggplot2

---
You received this message because you are subscribed to the Google Groups "ggplot2" group.
To unsubscribe from this group and stop receiving emails from it, send an email to ggplot2+u...@googlegroups.com.
For more options, visit https://groups.google.com/d/optout.
<Rplot03.png><Rplot01.png>

[Marios Barlas]

Geom raster is your best option. For such small array it works fine.

In case you need something stronger for larger data simply use a KDE 2D estimate as quick and dirty solution to reduce the data set to information

Get Outlook for Android

---

From: ggp...@googlegroups.com <ggp...@googlegroups.com> on behalf of Kavee L <xcub...@gmail.com>
Sent: Friday, December 14, 2018 12:32:02 AM
To: ggplot2
Subject: Re: Heatmaps

 

To post: email ggp...@googlegroups.com
To unsubscribe: email ggplot2+u...@googlegroups.com