Making individual histograms for multiple categories from one sheet in R
I have a data set with multiple categories of study type for pond data. The column of overall categories is organized with each type having individual values that follow. I can make a histogram for each when I produce individual sheets to use. I have dug around for a while, but cannot find how to make the same histogram for the study types from the overall data set.
Piece of data sheet that I am working with. As you can see, there are multiple study types that we have each with their own data.
Basically, I want to pull each individual study type and the num_divided to make a histogram for the types. My end goal is to make one image with the 9 different histograms stacked above one another. Each having the same x-axis values and their individual names on the left-hand side.
The trouble I am running into is that when I make the histograms from the separated sheets, I cannot make the stacked image I want. I apologize in advance if this lacks some information, but I also thank anyone that offers advice.
r dataframe plot histogram
edited Nov 25 '18 at 8:14
Joe
3,0171837
asked Nov 24 '18 at 20:39
pmdfishinpmdfishin
31
add a comment |
I have a data set with multiple categories of study type for pond data. The column of overall categories is organized with each type having individual values that follow. I can make a histogram for each when I produce individual sheets to use. I have dug around for a while, but cannot find how to make the same histogram for the study types from the overall data set.
Piece of data sheet that I am working with. As you can see, there are multiple study types that we have each with their own data.
Basically, I want to pull each individual study type and the num_divided to make a histogram for the types. My end goal is to make one image with the 9 different histograms stacked above one another. Each having the same x-axis values and their individual names on the left-hand side.
The trouble I am running into is that when I make the histograms from the separated sheets, I cannot make the stacked image I want. I apologize in advance if this lacks some information, but I also thank anyone that offers advice.
r dataframe plot histogram
edited Nov 25 '18 at 8:14
Joe
3,0171837
asked Nov 24 '18 at 20:39
pmdfishinpmdfishin
31
add a comment |
I have a data set with multiple categories of study type for pond data. The column of overall categories is organized with each type having individual values that follow. I can make a histogram for each when I produce individual sheets to use. I have dug around for a while, but cannot find how to make the same histogram for the study types from the overall data set.
Piece of data sheet that I am working with. As you can see, there are multiple study types that we have each with their own data.
Basically, I want to pull each individual study type and the num_divided to make a histogram for the types. My end goal is to make one image with the 9 different histograms stacked above one another. Each having the same x-axis values and their individual names on the left-hand side.
The trouble I am running into is that when I make the histograms from the separated sheets, I cannot make the stacked image I want. I apologize in advance if this lacks some information, but I also thank anyone that offers advice.
r dataframe plot histogram
edited Nov 25 '18 at 8:14
Joe
3,0171837
asked Nov 24 '18 at 20:39
pmdfishinpmdfishin
31
I have a data set with multiple categories of study type for pond data. The column of overall categories is organized with each type having individual values that follow. I can make a histogram for each when I produce individual sheets to use. I have dug around for a while, but cannot find how to make the same histogram for the study types from the overall data set.
Piece of data sheet that I am working with. As you can see, there are multiple study types that we have each with their own data.
Basically, I want to pull each individual study type and the num_divided to make a histogram for the types. My end goal is to make one image with the 9 different histograms stacked above one another. Each having the same x-axis values and their individual names on the left-hand side.
The trouble I am running into is that when I make the histograms from the separated sheets, I cannot make the stacked image I want. I apologize in advance if this lacks some information, but I also thank anyone that offers advice.
r dataframe plot histogram
r dataframe plot histogram
edited Nov 25 '18 at 8:14
Joe
3,0171837
asked Nov 24 '18 at 20:39
pmdfishinpmdfishin
31
edited Nov 25 '18 at 8:14
Joe
3,0171837
asked Nov 24 '18 at 20:39
pmdfishinpmdfishin
31
edited Nov 25 '18 at 8:14
Joe
3,0171837
edited Nov 25 '18 at 8:14
Joe
3,0171837
edited Nov 25 '18 at 8:14
Joe
3,0171837
3,0171837
asked Nov 24 '18 at 20:39
pmdfishinpmdfishin
31
asked Nov 24 '18 at 20:39
pmdfishinpmdfishin
31
asked Nov 24 '18 at 20:39
pmdfishinpmdfishin
31
31
add a comment |
add a comment |
1 Answer
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ggplot2 is the best option.
You didn't give reproducible data but it's easy to make some. Here are 9 studies each with 100 values:
set.seed(111)
dat <- data.frame(study = rep(letters[1:9], each = 100), num_divided = rnorm(900))
What you want is a facetted plot.
library(ggplot2)
ggplot(dat, aes(x = num_divided)) + geom_histogram() + facet_grid(study ~ .)
If you don't know much about ggplot2, a good starting point is the R Cookbook.
answered Nov 24 '18 at 21:41
JoeJoe
3,0171837
add a comment |
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1 Answer
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1 Answer
1
active
oldest
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active
oldest
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active
oldest
votes
ggplot2 is the best option.
You didn't give reproducible data but it's easy to make some. Here are 9 studies each with 100 values:
set.seed(111)
dat <- data.frame(study = rep(letters[1:9], each = 100), num_divided = rnorm(900))
What you want is a facetted plot.
library(ggplot2)
ggplot(dat, aes(x = num_divided)) + geom_histogram() + facet_grid(study ~ .)
If you don't know much about ggplot2, a good starting point is the R Cookbook.
answered Nov 24 '18 at 21:41
JoeJoe
3,0171837
add a comment |
ggplot2 is the best option.
You didn't give reproducible data but it's easy to make some. Here are 9 studies each with 100 values:
set.seed(111)
dat <- data.frame(study = rep(letters[1:9], each = 100), num_divided = rnorm(900))
What you want is a facetted plot.
library(ggplot2)
ggplot(dat, aes(x = num_divided)) + geom_histogram() + facet_grid(study ~ .)
If you don't know much about ggplot2, a good starting point is the R Cookbook.
answered Nov 24 '18 at 21:41
JoeJoe
3,0171837
add a comment |
ggplot2 is the best option.
You didn't give reproducible data but it's easy to make some. Here are 9 studies each with 100 values:
set.seed(111)
dat <- data.frame(study = rep(letters[1:9], each = 100), num_divided = rnorm(900))
What you want is a facetted plot.
library(ggplot2)
ggplot(dat, aes(x = num_divided)) + geom_histogram() + facet_grid(study ~ .)
If you don't know much about ggplot2, a good starting point is the R Cookbook.
answered Nov 24 '18 at 21:41
JoeJoe
3,0171837
ggplot2 is the best option.
You didn't give reproducible data but it's easy to make some. Here are 9 studies each with 100 values:
set.seed(111)
dat <- data.frame(study = rep(letters[1:9], each = 100), num_divided = rnorm(900))
What you want is a facetted plot.
library(ggplot2)
ggplot(dat, aes(x = num_divided)) + geom_histogram() + facet_grid(study ~ .)
If you don't know much about ggplot2, a good starting point is the R Cookbook.
answered Nov 24 '18 at 21:41
JoeJoe
3,0171837
answered Nov 24 '18 at 21:41
JoeJoe
3,0171837
answered Nov 24 '18 at 21:41
JoeJoe
3,0171837
answered Nov 24 '18 at 21:41
JoeJoe
3,0171837
3,0171837
add a comment |
add a comment |
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