Plot multiple histograms with purrr::map and ggplot2

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0
down vote

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How do I plot the histograms for these four random variables . This works, but it seems unneccessarily long.

#libraries

library(tidyverse)

library(purrr)

# Standard deviation question

std_devs %>% 

map(rnorm, n=1000, mean=75) %>% 

do.call('rbind', .) %>% 

t() %>% 

as.data.frame() %>% 

gather() %>% 

ggplot(., aes(x=value))+geom_histogram()+facet_wrap(~key)

edited Nov 10 at 14:57

Richard Telford

5,72742335

asked Nov 10 at 12:00

spindoctor

366218

what it std_devs?
– Richard Telford
Nov 10 at 12:09

Apologies, I missed that. The answer below figured out what I meant.
– spindoctor
yesterday

add a comment |

up vote
0
down vote

favorite

How do I plot the histograms for these four random variables . This works, but it seems unneccessarily long.

#libraries

library(tidyverse)

library(purrr)

# Standard deviation question

std_devs %>% 

map(rnorm, n=1000, mean=75) %>% 

do.call('rbind', .) %>% 

t() %>% 

as.data.frame() %>% 

gather() %>% 

ggplot(., aes(x=value))+geom_histogram()+facet_wrap(~key)

edited Nov 10 at 14:57

Richard Telford

5,72742335

asked Nov 10 at 12:00

spindoctor

366218

what it std_devs?
– Richard Telford
Nov 10 at 12:09

Apologies, I missed that. The answer below figured out what I meant.
– spindoctor
yesterday

add a comment |

up vote
0
down vote

favorite

How do I plot the histograms for these four random variables . This works, but it seems unneccessarily long.

#libraries

library(tidyverse)

library(purrr)

# Standard deviation question

std_devs %>% 

map(rnorm, n=1000, mean=75) %>% 

do.call('rbind', .) %>% 

t() %>% 

as.data.frame() %>% 

gather() %>% 

ggplot(., aes(x=value))+geom_histogram()+facet_wrap(~key)

edited Nov 10 at 14:57

Richard Telford

5,72742335

asked Nov 10 at 12:00

spindoctor

366218

How do I plot the histograms for these four random variables . This works, but it seems unneccessarily long.

#libraries

library(tidyverse)

library(purrr)

# Standard deviation question

std_devs %>% 

map(rnorm, n=1000, mean=75) %>% 

do.call('rbind', .) %>% 

t() %>% 

as.data.frame() %>% 

gather() %>% 

ggplot(., aes(x=value))+geom_histogram()+facet_wrap(~key)

r ggplot2 tidyverse purrr

edited Nov 10 at 14:57

Richard Telford

5,72742335

asked Nov 10 at 12:00

spindoctor

366218

edited Nov 10 at 14:57

Richard Telford

5,72742335

asked Nov 10 at 12:00

spindoctor

366218

edited Nov 10 at 14:57

Richard Telford

5,72742335

edited Nov 10 at 14:57

Richard Telford

5,72742335

edited Nov 10 at 14:57

Richard Telford

5,72742335

asked Nov 10 at 12:00

spindoctor

366218

asked Nov 10 at 12:00

spindoctor

366218

asked Nov 10 at 12:00

spindoctor

366218

what it std_devs?
– Richard Telford
Nov 10 at 12:09

Apologies, I missed that. The answer below figured out what I meant.
– spindoctor
yesterday

add a comment |

what it std_devs?
– Richard Telford
Nov 10 at 12:09

Apologies, I missed that. The answer below figured out what I meant.
– spindoctor
yesterday

what it std_devs?
– Richard Telford
Nov 10 at 12:09

Apologies, I missed that. The answer below figured out what I meant.
– spindoctor
yesterday

add a comment |

1 Answer
1

active

oldest

votes

up vote
0
down vote

accepted

purrr is loaded by tidyverse so you can skip that line. map_df makes the rest much more condensed.

library(tidyverse)



# Standard deviation question

set.seed(10)

std_devs <- 1:4

std_devs %>% 

  map_df(~data_frame(key = ., value = rnorm(n=1000, mean=75, sd = .))) %>% 

    ggplot(aes(x=value))+geom_histogram()+facet_wrap(~key)

edited Nov 10 at 14:57

answered Nov 10 at 12:15

Richard Telford

5,72742335

add a comment |

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1 Answer
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active

oldest

votes

1 Answer
1

active

oldest

votes

up vote
0
down vote

accepted

purrr is loaded by tidyverse so you can skip that line. map_df makes the rest much more condensed.

library(tidyverse)



# Standard deviation question

set.seed(10)

std_devs <- 1:4

std_devs %>% 

  map_df(~data_frame(key = ., value = rnorm(n=1000, mean=75, sd = .))) %>% 

    ggplot(aes(x=value))+geom_histogram()+facet_wrap(~key)

edited Nov 10 at 14:57

answered Nov 10 at 12:15

Richard Telford

5,72742335

add a comment |

up vote
0
down vote

accepted

purrr is loaded by tidyverse so you can skip that line. map_df makes the rest much more condensed.

library(tidyverse)



# Standard deviation question

set.seed(10)

std_devs <- 1:4

std_devs %>% 

  map_df(~data_frame(key = ., value = rnorm(n=1000, mean=75, sd = .))) %>% 

    ggplot(aes(x=value))+geom_histogram()+facet_wrap(~key)

edited Nov 10 at 14:57

answered Nov 10 at 12:15

Richard Telford

5,72742335

add a comment |

up vote
0
down vote

accepted

purrr is loaded by tidyverse so you can skip that line. map_df makes the rest much more condensed.

library(tidyverse)



# Standard deviation question

set.seed(10)

std_devs <- 1:4

std_devs %>% 

  map_df(~data_frame(key = ., value = rnorm(n=1000, mean=75, sd = .))) %>% 

    ggplot(aes(x=value))+geom_histogram()+facet_wrap(~key)

edited Nov 10 at 14:57

answered Nov 10 at 12:15

Richard Telford

5,72742335

purrr is loaded by tidyverse so you can skip that line. map_df makes the rest much more condensed.

library(tidyverse)



# Standard deviation question

set.seed(10)

std_devs <- 1:4

std_devs %>% 

  map_df(~data_frame(key = ., value = rnorm(n=1000, mean=75, sd = .))) %>% 

    ggplot(aes(x=value))+geom_histogram()+facet_wrap(~key)

edited Nov 10 at 14:57

answered Nov 10 at 12:15

Richard Telford

5,72742335

edited Nov 10 at 14:57

answered Nov 10 at 12:15

Richard Telford

5,72742335

answered Nov 10 at 12:15

Richard Telford

5,72742335

answered Nov 10 at 12:15

Richard Telford

5,72742335

add a comment |

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