Plot means of multiple variables on same x-axis
I apologize if the question doesn't make much sense but essentially I have a dataset like this
df <- data.frame("Var1" = c(1,.25,1,.5,.5,.75),
"Var2" = c(.25,.25,.25,.5,1,.75),
"Var3" = c(1,1,1,.5,.5,.25),
"Var4" = c(1,1,1,.75,.75,.75))
where all four variables use the same scale. I'd like to plot their means on a simple bar chart, where each variable appears like a group on the x-axis and has its own bar. The y-axis would go from 0-1.
r ggplot2
edited Nov 21 '18 at 9:43
markus
14.3k11236
asked Nov 21 '18 at 2:26
Addison MaerzAddison Maerz
273
add a comment |
I apologize if the question doesn't make much sense but essentially I have a dataset like this
df <- data.frame("Var1" = c(1,.25,1,.5,.5,.75),
"Var2" = c(.25,.25,.25,.5,1,.75),
"Var3" = c(1,1,1,.5,.5,.25),
"Var4" = c(1,1,1,.75,.75,.75))
where all four variables use the same scale. I'd like to plot their means on a simple bar chart, where each variable appears like a group on the x-axis and has its own bar. The y-axis would go from 0-1.
r ggplot2
edited Nov 21 '18 at 9:43
markus
14.3k11236
asked Nov 21 '18 at 2:26
Addison MaerzAddison Maerz
273
add a comment |
I apologize if the question doesn't make much sense but essentially I have a dataset like this
df <- data.frame("Var1" = c(1,.25,1,.5,.5,.75),
"Var2" = c(.25,.25,.25,.5,1,.75),
"Var3" = c(1,1,1,.5,.5,.25),
"Var4" = c(1,1,1,.75,.75,.75))
where all four variables use the same scale. I'd like to plot their means on a simple bar chart, where each variable appears like a group on the x-axis and has its own bar. The y-axis would go from 0-1.
r ggplot2
edited Nov 21 '18 at 9:43
markus
14.3k11236
asked Nov 21 '18 at 2:26
Addison MaerzAddison Maerz
273
I apologize if the question doesn't make much sense but essentially I have a dataset like this
df <- data.frame("Var1" = c(1,.25,1,.5,.5,.75),
"Var2" = c(.25,.25,.25,.5,1,.75),
"Var3" = c(1,1,1,.5,.5,.25),
"Var4" = c(1,1,1,.75,.75,.75))
where all four variables use the same scale. I'd like to plot their means on a simple bar chart, where each variable appears like a group on the x-axis and has its own bar. The y-axis would go from 0-1.
r ggplot2
r ggplot2
edited Nov 21 '18 at 9:43
markus
14.3k11236
asked Nov 21 '18 at 2:26
Addison MaerzAddison Maerz
273
edited Nov 21 '18 at 9:43
markus
14.3k11236
asked Nov 21 '18 at 2:26
Addison MaerzAddison Maerz
273
edited Nov 21 '18 at 9:43
markus
14.3k11236
edited Nov 21 '18 at 9:43
markus
14.3k11236
edited Nov 21 '18 at 9:43
markus
14.3k11236
14.3k11236
asked Nov 21 '18 at 2:26
Addison MaerzAddison Maerz
273
asked Nov 21 '18 at 2:26
Addison MaerzAddison Maerz
273
asked Nov 21 '18 at 2:26
Addison MaerzAddison Maerz
273
273
add a comment |
add a comment |
1 Answer
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You'd need to reshape your data first and then plot. I use stack for this which will return a data frame with columns values and ind.
library(ggplot2)
ggplot(stack(df), aes(x = ind, y = values)) +
stat_summary(geom = "bar", fun.y = mean) +
ylim(c(0, 1))
answered Nov 21 '18 at 9:47
markusmarkus
14.3k11236
add a comment |
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1 Answer
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1 Answer
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active
oldest
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oldest
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active
oldest
votes
You'd need to reshape your data first and then plot. I use stack for this which will return a data frame with columns values and ind.
library(ggplot2)
ggplot(stack(df), aes(x = ind, y = values)) +
stat_summary(geom = "bar", fun.y = mean) +
ylim(c(0, 1))
answered Nov 21 '18 at 9:47
markusmarkus
14.3k11236
add a comment |
You'd need to reshape your data first and then plot. I use stack for this which will return a data frame with columns values and ind.
library(ggplot2)
ggplot(stack(df), aes(x = ind, y = values)) +
stat_summary(geom = "bar", fun.y = mean) +
ylim(c(0, 1))
answered Nov 21 '18 at 9:47
markusmarkus
14.3k11236
add a comment |
You'd need to reshape your data first and then plot. I use stack for this which will return a data frame with columns values and ind.
library(ggplot2)
ggplot(stack(df), aes(x = ind, y = values)) +
stat_summary(geom = "bar", fun.y = mean) +
ylim(c(0, 1))
answered Nov 21 '18 at 9:47
markusmarkus
14.3k11236
You'd need to reshape your data first and then plot. I use stack for this which will return a data frame with columns values and ind.
library(ggplot2)
ggplot(stack(df), aes(x = ind, y = values)) +
stat_summary(geom = "bar", fun.y = mean) +
ylim(c(0, 1))
answered Nov 21 '18 at 9:47
markusmarkus
14.3k11236
answered Nov 21 '18 at 9:47
markusmarkus
14.3k11236
answered Nov 21 '18 at 9:47
markusmarkus
14.3k11236
answered Nov 21 '18 at 9:47
markusmarkus
14.3k11236
14.3k11236
add a comment |
add a comment |
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