how to make a graph with two lines and four symbols?
I want to make a graph with two lines (one for a level and anorther for other level of the factor), but each level have two categories on ggplot2. So I need make a graph like this (image) but with two symbols for each line. Help, please!!!!
r ggplot2
asked Nov 22 at 19:05
Bruna Carvalho
15
add a comment |
I want to make a graph with two lines (one for a level and anorther for other level of the factor), but each level have two categories on ggplot2. So I need make a graph like this (image) but with two symbols for each line. Help, please!!!!
r ggplot2
asked Nov 22 at 19:05
Bruna Carvalho
15
1
Please share some data withdput()and the code you tried.
– markus
Nov 22 at 19:28
I tried putting the data and ended up going as image. And the graph is an example of the internet.
– Bruna Carvalho
Nov 22 at 21:08
Please consider How to make a great R reproducible example.
– markus
Nov 22 at 21:13
I put a online table with the data.
– Bruna Carvalho
Nov 22 at 21:37
add a comment |
I want to make a graph with two lines (one for a level and anorther for other level of the factor), but each level have two categories on ggplot2. So I need make a graph like this (image) but with two symbols for each line. Help, please!!!!
r ggplot2
asked Nov 22 at 19:05
Bruna Carvalho
15
I want to make a graph with two lines (one for a level and anorther for other level of the factor), but each level have two categories on ggplot2. So I need make a graph like this (image) but with two symbols for each line. Help, please!!!!
r ggplot2
r ggplot2
asked Nov 22 at 19:05
Bruna Carvalho
15
asked Nov 22 at 19:05
Bruna Carvalho
15
edited Nov 22 at 21:36
asked Nov 22 at 19:05
Bruna Carvalho
15
asked Nov 22 at 19:05
Bruna Carvalho
15
asked Nov 22 at 19:05
Bruna Carvalho
15
15
1
Please share some data withdput()and the code you tried.
– markus
Nov 22 at 19:28
I tried putting the data and ended up going as image. And the graph is an example of the internet.
– Bruna Carvalho
Nov 22 at 21:08
Please consider How to make a great R reproducible example.
– markus
Nov 22 at 21:13
I put a online table with the data.
– Bruna Carvalho
Nov 22 at 21:37
add a comment |
1
Please share some data withdput()and the code you tried.
– markus
Nov 22 at 19:28
I tried putting the data and ended up going as image. And the graph is an example of the internet.
– Bruna Carvalho
Nov 22 at 21:08
Please consider How to make a great R reproducible example.
– markus
Nov 22 at 21:13
I put a online table with the data.
– Bruna Carvalho
Nov 22 at 21:37
1
1
Please share some data with
dput() and the code you tried.– markus
Nov 22 at 19:28
Please share some data with
dput() and the code you tried.– markus
Nov 22 at 19:28
I tried putting the data and ended up going as image. And the graph is an example of the internet.
– Bruna Carvalho
Nov 22 at 21:08
I tried putting the data and ended up going as image. And the graph is an example of the internet.
– Bruna Carvalho
Nov 22 at 21:08
Please consider How to make a great R reproducible example.
– markus
Nov 22 at 21:13
Please consider How to make a great R reproducible example.
– markus
Nov 22 at 21:13
I put a online table with the data.
– Bruna Carvalho
Nov 22 at 21:37
I put a online table with the data.
– Bruna Carvalho
Nov 22 at 21:37
add a comment |
1 Answer
1
active
oldest
votes
A (potential) solution in R base is this:
Define your data in a dataframe:
df <- data.frame(Gender = c(rep("m",10), rep("f", 10)),
Age = sample(10:90, 20, replace = T),
Fitness_level = sample(1:10, 20, replace = T))
Add two distinct point characters depending on age level:
df$pch <- ifelse(df$Age > 40, 8, 12) # 8 and 12 are point characters
Plot fitness level against age for men and, respectively for women, adding for each a regression line:
# scatter plot:
plot(df$Fitness_level[df$Gender=="m"] ~ df$Age[df$Gender=="m"], pch = df$pch, col="red", ylim=c(1,10))
# regression line for men:
abline(lm(df$Fitness_level[df$Gender=="m"] ~ df$Age[df$Gender=="m"]), col="red")
# add points for women:
points(df$Fitness_level[df$Gender=="f"] ~ df$Age[df$Gender=="f"], pch = df$pch, col = "blue")
# add regression line:
abline(lm(df$Fitness_level[df$Gender=="f"] ~ df$Age[df$Gender=="f"]), col="blue")
answered Nov 22 at 22:30
Chris Ruehlemann
37829
add a comment |
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1 Answer
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active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
A (potential) solution in R base is this:
Define your data in a dataframe:
df <- data.frame(Gender = c(rep("m",10), rep("f", 10)),
Age = sample(10:90, 20, replace = T),
Fitness_level = sample(1:10, 20, replace = T))
Add two distinct point characters depending on age level:
df$pch <- ifelse(df$Age > 40, 8, 12) # 8 and 12 are point characters
Plot fitness level against age for men and, respectively for women, adding for each a regression line:
# scatter plot:
plot(df$Fitness_level[df$Gender=="m"] ~ df$Age[df$Gender=="m"], pch = df$pch, col="red", ylim=c(1,10))
# regression line for men:
abline(lm(df$Fitness_level[df$Gender=="m"] ~ df$Age[df$Gender=="m"]), col="red")
# add points for women:
points(df$Fitness_level[df$Gender=="f"] ~ df$Age[df$Gender=="f"], pch = df$pch, col = "blue")
# add regression line:
abline(lm(df$Fitness_level[df$Gender=="f"] ~ df$Age[df$Gender=="f"]), col="blue")
answered Nov 22 at 22:30
Chris Ruehlemann
37829
add a comment |
A (potential) solution in R base is this:
Define your data in a dataframe:
df <- data.frame(Gender = c(rep("m",10), rep("f", 10)),
Age = sample(10:90, 20, replace = T),
Fitness_level = sample(1:10, 20, replace = T))
Add two distinct point characters depending on age level:
df$pch <- ifelse(df$Age > 40, 8, 12) # 8 and 12 are point characters
Plot fitness level against age for men and, respectively for women, adding for each a regression line:
# scatter plot:
plot(df$Fitness_level[df$Gender=="m"] ~ df$Age[df$Gender=="m"], pch = df$pch, col="red", ylim=c(1,10))
# regression line for men:
abline(lm(df$Fitness_level[df$Gender=="m"] ~ df$Age[df$Gender=="m"]), col="red")
# add points for women:
points(df$Fitness_level[df$Gender=="f"] ~ df$Age[df$Gender=="f"], pch = df$pch, col = "blue")
# add regression line:
abline(lm(df$Fitness_level[df$Gender=="f"] ~ df$Age[df$Gender=="f"]), col="blue")
answered Nov 22 at 22:30
Chris Ruehlemann
37829
add a comment |
A (potential) solution in R base is this:
Define your data in a dataframe:
df <- data.frame(Gender = c(rep("m",10), rep("f", 10)),
Age = sample(10:90, 20, replace = T),
Fitness_level = sample(1:10, 20, replace = T))
Add two distinct point characters depending on age level:
df$pch <- ifelse(df$Age > 40, 8, 12) # 8 and 12 are point characters
Plot fitness level against age for men and, respectively for women, adding for each a regression line:
# scatter plot:
plot(df$Fitness_level[df$Gender=="m"] ~ df$Age[df$Gender=="m"], pch = df$pch, col="red", ylim=c(1,10))
# regression line for men:
abline(lm(df$Fitness_level[df$Gender=="m"] ~ df$Age[df$Gender=="m"]), col="red")
# add points for women:
points(df$Fitness_level[df$Gender=="f"] ~ df$Age[df$Gender=="f"], pch = df$pch, col = "blue")
# add regression line:
abline(lm(df$Fitness_level[df$Gender=="f"] ~ df$Age[df$Gender=="f"]), col="blue")
answered Nov 22 at 22:30
Chris Ruehlemann
37829
A (potential) solution in R base is this:
Define your data in a dataframe:
df <- data.frame(Gender = c(rep("m",10), rep("f", 10)),
Age = sample(10:90, 20, replace = T),
Fitness_level = sample(1:10, 20, replace = T))
Add two distinct point characters depending on age level:
df$pch <- ifelse(df$Age > 40, 8, 12) # 8 and 12 are point characters
Plot fitness level against age for men and, respectively for women, adding for each a regression line:
# scatter plot:
plot(df$Fitness_level[df$Gender=="m"] ~ df$Age[df$Gender=="m"], pch = df$pch, col="red", ylim=c(1,10))
# regression line for men:
abline(lm(df$Fitness_level[df$Gender=="m"] ~ df$Age[df$Gender=="m"]), col="red")
# add points for women:
points(df$Fitness_level[df$Gender=="f"] ~ df$Age[df$Gender=="f"], pch = df$pch, col = "blue")
# add regression line:
abline(lm(df$Fitness_level[df$Gender=="f"] ~ df$Age[df$Gender=="f"]), col="blue")
answered Nov 22 at 22:30
Chris Ruehlemann
37829
answered Nov 22 at 22:30
Chris Ruehlemann
37829
answered Nov 22 at 22:30
Chris Ruehlemann
37829
answered Nov 22 at 22:30
Chris Ruehlemann
37829
37829
add a comment |
add a comment |
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1
Please share some data with
dput()and the code you tried.– markus
Nov 22 at 19:28
I tried putting the data and ended up going as image. And the graph is an example of the internet.
– Bruna Carvalho
Nov 22 at 21:08
Please consider How to make a great R reproducible example.
– markus
Nov 22 at 21:13
I put a online table with the data.
– Bruna Carvalho
Nov 22 at 21:37