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How to manually change linetypes in ggplot2

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I'd like to manually change linetypes for a few lines in an interaction plot in ggplot. Essentially, x = continuous y = continuous, moderator = categorical (5 levels).

I have specified the desired linetypes using the scale_linetype_manual argument, but for whatever reason, the linetypes are not changing. I am able to successfully change the line colors but not the linetypes.

ggplot(data=subset(study6, !is.na(condition_control)), aes(x=attitude, y=support, color=condition_control)) + 
 stat_smooth(method="lm", se = FALSE) + 
 labs(x ="Initial attitudes", y = "Policy support") +
 guides(color=guide_legend(title="Condition")) +
 scale_linetype_manual(values=c("solid", "dashed", "solid", "dashed", "solid")) + 
 scale_color_manual(values=c("red", "gray70", "gray70", "black", "black")) +
 theme_bw()

Perhaps the issue has to do with the categorical moderating variable (condition_control)? Any suggestions you have on the matter would be appreciated.

r ggplot2

share|improve this question

edited Mar 29 at 1:33

Z.Lin

16.1k33 gold badges2424 silver badges4646 bronze badges

asked Mar 28 at 21:03

Christofer SkurkaChristofer Skurka

1

add a comment
 | 

0

I'd like to manually change linetypes for a few lines in an interaction plot in ggplot. Essentially, x = continuous y = continuous, moderator = categorical (5 levels).

I have specified the desired linetypes using the scale_linetype_manual argument, but for whatever reason, the linetypes are not changing. I am able to successfully change the line colors but not the linetypes.

ggplot(data=subset(study6, !is.na(condition_control)), aes(x=attitude, y=support, color=condition_control)) + 
 stat_smooth(method="lm", se = FALSE) + 
 labs(x ="Initial attitudes", y = "Policy support") +
 guides(color=guide_legend(title="Condition")) +
 scale_linetype_manual(values=c("solid", "dashed", "solid", "dashed", "solid")) + 
 scale_color_manual(values=c("red", "gray70", "gray70", "black", "black")) +
 theme_bw()

Perhaps the issue has to do with the categorical moderating variable (condition_control)? Any suggestions you have on the matter would be appreciated.

r ggplot2

share|improve this question

edited Mar 29 at 1:33

Z.Lin

16.1k33 gold badges2424 silver badges4646 bronze badges

asked Mar 28 at 21:03

Christofer SkurkaChristofer Skurka

1

add a comment
 | 

I'd like to manually change linetypes for a few lines in an interaction plot in ggplot. Essentially, x = continuous y = continuous, moderator = categorical (5 levels).

I have specified the desired linetypes using the scale_linetype_manual argument, but for whatever reason, the linetypes are not changing. I am able to successfully change the line colors but not the linetypes.

ggplot(data=subset(study6, !is.na(condition_control)), aes(x=attitude, y=support, color=condition_control)) + 
 stat_smooth(method="lm", se = FALSE) + 
 labs(x ="Initial attitudes", y = "Policy support") +
 guides(color=guide_legend(title="Condition")) +
 scale_linetype_manual(values=c("solid", "dashed", "solid", "dashed", "solid")) + 
 scale_color_manual(values=c("red", "gray70", "gray70", "black", "black")) +
 theme_bw()

Perhaps the issue has to do with the categorical moderating variable (condition_control)? Any suggestions you have on the matter would be appreciated.

r ggplot2

share|improve this question

edited Mar 29 at 1:33

Z.Lin

16.1k33 gold badges2424 silver badges4646 bronze badges

asked Mar 28 at 21:03

Christofer SkurkaChristofer Skurka

1

ggplot(data=subset(study6, !is.na(condition_control)), aes(x=attitude, y=support, color=condition_control)) + 
 stat_smooth(method="lm", se = FALSE) + 
 labs(x ="Initial attitudes", y = "Policy support") +
 guides(color=guide_legend(title="Condition")) +
 scale_linetype_manual(values=c("solid", "dashed", "solid", "dashed", "solid")) + 
 scale_color_manual(values=c("red", "gray70", "gray70", "black", "black")) +
 theme_bw()

share|improve this question

edited Mar 29 at 1:33

Z.Lin

16.1k33 gold badges2424 silver badges4646 bronze badges

asked Mar 28 at 21:03

Christofer SkurkaChristofer Skurka

1

share|improve this question

edited Mar 29 at 1:33

Z.Lin

16.1k33 gold badges2424 silver badges4646 bronze badges

asked Mar 28 at 21:03

Christofer SkurkaChristofer Skurka

1

edited Mar 29 at 1:33

Z.Lin

16.1k33 gold badges2424 silver badges4646 bronze badges

edited Mar 29 at 1:33

Z.Lin

16.1k33 gold badges2424 silver badges4646 bronze badges

asked Mar 28 at 21:03

Christofer SkurkaChristofer Skurka

1

asked Mar 28 at 21:03

Christofer SkurkaChristofer Skurka

1

1 Answer
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0

For others who may have this issue, I figured it out!

You have to specify your moderator as both a color and a linetype in the aes function. (Note: This will give you two different legends, so you have to make sure each legend is given the same title in order to collapse them into a single legend.)

ggplot(data=subset(study6, !is.na(condition_control)), aes(x=attitude, y=support, color=condition_control, linetype = condition_control)) + 
 stat_smooth(method="lm", se = FALSE) + 
 labs(x ="Initial attitudes", y = "Policy support") +
 guides(color=guide_legend(title="Condition")) +
 scale_linetype_manual("Condition", values=c("solid", "twodash", "solid", "twodash", "solid")) +
 scale_color_manual("Condition", values=c("red", "gray70", "gray70", "black", "black")) +
 theme_bw()

share|improve this answer

answered Mar 28 at 22:20

Christofer SkurkaChristofer Skurka

1

add a comment
 | 

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0

For others who may have this issue, I figured it out!

You have to specify your moderator as both a color and a linetype in the aes function. (Note: This will give you two different legends, so you have to make sure each legend is given the same title in order to collapse them into a single legend.)

ggplot(data=subset(study6, !is.na(condition_control)), aes(x=attitude, y=support, color=condition_control, linetype = condition_control)) + 
 stat_smooth(method="lm", se = FALSE) + 
 labs(x ="Initial attitudes", y = "Policy support") +
 guides(color=guide_legend(title="Condition")) +
 scale_linetype_manual("Condition", values=c("solid", "twodash", "solid", "twodash", "solid")) +
 scale_color_manual("Condition", values=c("red", "gray70", "gray70", "black", "black")) +
 theme_bw()

share|improve this answer

answered Mar 28 at 22:20

Christofer SkurkaChristofer Skurka

1

add a comment
 | 

0

For others who may have this issue, I figured it out!

You have to specify your moderator as both a color and a linetype in the aes function. (Note: This will give you two different legends, so you have to make sure each legend is given the same title in order to collapse them into a single legend.)

ggplot(data=subset(study6, !is.na(condition_control)), aes(x=attitude, y=support, color=condition_control, linetype = condition_control)) + 
 stat_smooth(method="lm", se = FALSE) + 
 labs(x ="Initial attitudes", y = "Policy support") +
 guides(color=guide_legend(title="Condition")) +
 scale_linetype_manual("Condition", values=c("solid", "twodash", "solid", "twodash", "solid")) +
 scale_color_manual("Condition", values=c("red", "gray70", "gray70", "black", "black")) +
 theme_bw()

share|improve this answer

answered Mar 28 at 22:20

Christofer SkurkaChristofer Skurka

1

add a comment
 | 

For others who may have this issue, I figured it out!

You have to specify your moderator as both a color and a linetype in the aes function. (Note: This will give you two different legends, so you have to make sure each legend is given the same title in order to collapse them into a single legend.)

ggplot(data=subset(study6, !is.na(condition_control)), aes(x=attitude, y=support, color=condition_control, linetype = condition_control)) + 
 stat_smooth(method="lm", se = FALSE) + 
 labs(x ="Initial attitudes", y = "Policy support") +
 guides(color=guide_legend(title="Condition")) +
 scale_linetype_manual("Condition", values=c("solid", "twodash", "solid", "twodash", "solid")) +
 scale_color_manual("Condition", values=c("red", "gray70", "gray70", "black", "black")) +
 theme_bw()

share|improve this answer

answered Mar 28 at 22:20

Christofer SkurkaChristofer Skurka

1

ggplot(data=subset(study6, !is.na(condition_control)), aes(x=attitude, y=support, color=condition_control, linetype = condition_control)) + 
 stat_smooth(method="lm", se = FALSE) + 
 labs(x ="Initial attitudes", y = "Policy support") +
 guides(color=guide_legend(title="Condition")) +
 scale_linetype_manual("Condition", values=c("solid", "twodash", "solid", "twodash", "solid")) +
 scale_color_manual("Condition", values=c("red", "gray70", "gray70", "black", "black")) +
 theme_bw()

share|improve this answer

answered Mar 28 at 22:20

Christofer SkurkaChristofer Skurka

1

answered Mar 28 at 22:20

Christofer SkurkaChristofer Skurka

1

answered Mar 28 at 22:20

Christofer SkurkaChristofer Skurka

1