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Change order of elements in slopegraphs, ggplot [duplicate]

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0

This question already has an answer here:

• 
  Change the order of a discrete x scale
  
  5 answers
  
  

I am trying to change the order of elements plotted in the slopegraph(below) generated in ggplot

My data set is

State.Name value Challenging type
 Alabama 0.03549384 Crop State
 Alabama 0.15840594 Pasture State
 Alabama 0.06373341 Crop Regional Mean
 Alabama 0.18004195 Pasture Regional Mean
 Alabama 0.06763161 Crop National Mean
 Alabama 0.11543352 Pasture National Mean

My code is

plot<-ggplot(data = above df, aes(x = type, y = value, group = Challenging, colour= Challenging)) +
geom_line(size = 1) +
geom_point(size = 1)+ theme(legend.title=element_blank())+ theme_minimal()+ theme(legend.title = element_blank())+
labs(title=statenames[[i]])+ scale_color_manual(values =c("indianred4","yellow4"))+ 
theme(axis.title.x=element_blank())+ ylab("Opportunity in Challenging Soil Conditions (Mha)")

How do I edit above code such that the order of plotting in State, Regional Mean, National Mean instead of what the plot currently is i.e. National Mean, Regional Mean and State.

r ggplot2

share|improve this question

asked Mar 28 at 18:39

tg110tg110

1971212 bronze badges

marked as duplicate by Gregor ggplot2
Users with the  ggplot2 badge can single-handedly close ggplot2 questions as duplicates and reopen them as needed.

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Mar 28 at 18:50

This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.

add a comment
 | 

0

This question already has an answer here:

• 
  Change the order of a discrete x scale
  
  5 answers
  
  

I am trying to change the order of elements plotted in the slopegraph(below) generated in ggplot

My data set is

State.Name value Challenging type
 Alabama 0.03549384 Crop State
 Alabama 0.15840594 Pasture State
 Alabama 0.06373341 Crop Regional Mean
 Alabama 0.18004195 Pasture Regional Mean
 Alabama 0.06763161 Crop National Mean
 Alabama 0.11543352 Pasture National Mean

My code is

plot<-ggplot(data = above df, aes(x = type, y = value, group = Challenging, colour= Challenging)) +
geom_line(size = 1) +
geom_point(size = 1)+ theme(legend.title=element_blank())+ theme_minimal()+ theme(legend.title = element_blank())+
labs(title=statenames[[i]])+ scale_color_manual(values =c("indianred4","yellow4"))+ 
theme(axis.title.x=element_blank())+ ylab("Opportunity in Challenging Soil Conditions (Mha)")

How do I edit above code such that the order of plotting in State, Regional Mean, National Mean instead of what the plot currently is i.e. National Mean, Regional Mean and State.

r ggplot2

share|improve this question

asked Mar 28 at 18:39

tg110tg110

1971212 bronze badges

marked as duplicate by Gregor ggplot2
Users with the  ggplot2 badge can single-handedly close ggplot2 questions as duplicates and reopen them as needed.

StackExchange.ready(function()
if (StackExchange.options.isMobile) return;

$('.dupe-hammer-message-hover:not(.hover-bound)').each(function()
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Mar 28 at 18:50

This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.

add a comment
 | 

This question already has an answer here:

• 
  Change the order of a discrete x scale
  
  5 answers
  
  

I am trying to change the order of elements plotted in the slopegraph(below) generated in ggplot

My data set is

State.Name value Challenging type
 Alabama 0.03549384 Crop State
 Alabama 0.15840594 Pasture State
 Alabama 0.06373341 Crop Regional Mean
 Alabama 0.18004195 Pasture Regional Mean
 Alabama 0.06763161 Crop National Mean
 Alabama 0.11543352 Pasture National Mean

My code is

plot<-ggplot(data = above df, aes(x = type, y = value, group = Challenging, colour= Challenging)) +
geom_line(size = 1) +
geom_point(size = 1)+ theme(legend.title=element_blank())+ theme_minimal()+ theme(legend.title = element_blank())+
labs(title=statenames[[i]])+ scale_color_manual(values =c("indianred4","yellow4"))+ 
theme(axis.title.x=element_blank())+ ylab("Opportunity in Challenging Soil Conditions (Mha)")

How do I edit above code such that the order of plotting in State, Regional Mean, National Mean instead of what the plot currently is i.e. National Mean, Regional Mean and State.

r ggplot2

share|improve this question

asked Mar 28 at 18:39

tg110tg110

1971212 bronze badges

State.Name value Challenging type
 Alabama 0.03549384 Crop State
 Alabama 0.15840594 Pasture State
 Alabama 0.06373341 Crop Regional Mean
 Alabama 0.18004195 Pasture Regional Mean
 Alabama 0.06763161 Crop National Mean
 Alabama 0.11543352 Pasture National Mean

plot<-ggplot(data = above df, aes(x = type, y = value, group = Challenging, colour= Challenging)) +
geom_line(size = 1) +
geom_point(size = 1)+ theme(legend.title=element_blank())+ theme_minimal()+ theme(legend.title = element_blank())+
labs(title=statenames[[i]])+ scale_color_manual(values =c("indianred4","yellow4"))+ 
theme(axis.title.x=element_blank())+ ylab("Opportunity in Challenging Soil Conditions (Mha)")

share|improve this question

asked Mar 28 at 18:39

tg110tg110

1971212 bronze badges

share|improve this question

asked Mar 28 at 18:39

tg110tg110

1971212 bronze badges

asked Mar 28 at 18:39

tg110tg110

1971212 bronze badges

asked Mar 28 at 18:39

tg110tg110

1971212 bronze badges

1 Answer
1

active

oldest

votes

1

One potential option would be to change the class of df$type and set the order prior to plotting. Like this:

df$type <- factor(df$type, levels = c('State', 'Regional Mean','National Mean')

Then do the ggplot code you already have.

Let me know if that helps!

share|improve this answer

edited Mar 29 at 12:17

answered Mar 28 at 18:43

BurlyPotatoManBurlyPotatoMan

17999 bronze badges

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Doesnt' work. Cannot specify levels in as.factor()
  
  – tg110
  Mar 28 at 20:24
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  @tg110 You're right, sorry! I've edited the code. Should work now.
  
  – BurlyPotatoMan
  Mar 29 at 12:17
  

  
  
  
  

add a comment
 | 

1

One potential option would be to change the class of df$type and set the order prior to plotting. Like this:

df$type <- factor(df$type, levels = c('State', 'Regional Mean','National Mean')

Then do the ggplot code you already have.

Let me know if that helps!

share|improve this answer

edited Mar 29 at 12:17

answered Mar 28 at 18:43

BurlyPotatoManBurlyPotatoMan

17999 bronze badges

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Doesnt' work. Cannot specify levels in as.factor()
  
  – tg110
  Mar 28 at 20:24
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  @tg110 You're right, sorry! I've edited the code. Should work now.
  
  – BurlyPotatoMan
  Mar 29 at 12:17
  

  
  
  
  

add a comment
 | 

1

One potential option would be to change the class of df$type and set the order prior to plotting. Like this:

df$type <- factor(df$type, levels = c('State', 'Regional Mean','National Mean')

Then do the ggplot code you already have.

Let me know if that helps!

share|improve this answer

edited Mar 29 at 12:17

answered Mar 28 at 18:43

BurlyPotatoManBurlyPotatoMan

17999 bronze badges

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Doesnt' work. Cannot specify levels in as.factor()
  
  – tg110
  Mar 28 at 20:24
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  @tg110 You're right, sorry! I've edited the code. Should work now.
  
  – BurlyPotatoMan
  Mar 29 at 12:17
  

  
  
  
  

add a comment
 | 

One potential option would be to change the class of df$type and set the order prior to plotting. Like this:

df$type <- factor(df$type, levels = c('State', 'Regional Mean','National Mean')

Then do the ggplot code you already have.

Let me know if that helps!

share|improve this answer

edited Mar 29 at 12:17

answered Mar 28 at 18:43

BurlyPotatoManBurlyPotatoMan

17999 bronze badges

df$type <- factor(df$type, levels = c('State', 'Regional Mean','National Mean')

share|improve this answer

edited Mar 29 at 12:17

answered Mar 28 at 18:43

BurlyPotatoManBurlyPotatoMan

17999 bronze badges

answered Mar 28 at 18:43

BurlyPotatoManBurlyPotatoMan

17999 bronze badges

answered Mar 28 at 18:43

BurlyPotatoManBurlyPotatoMan

17999 bronze badges