This is a thread for DATA 412/612 students to practice preparing and sharing code questions using minimal reproducible examples (reprexes). There is no need to respond to these questions, as we're just practicing 
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I expected a histogram displaying just the heights from the diabetes data but instead I recieve this error message saying 'data' must be a data frame, or other object coercible by 'fortify( )'. How do I fix this error?
library(tidyverse)
diabetes <- read.csv("https://raw.githubusercontent.com/malcolmbarrett/au-stats412-612-01-reading_data/master/diabetes.csv")
just_height <- diabetes[, "height"]
ggplot(just_height, aes(x = height)) +
geom_histogram()
#> Error: `data` must be a data frame, or other object coercible by `fortify()`, not an integer vector.
Created on 2022-02-02 by the reprex package (v2.0.1)
Hey everyone!
I was trying to take the data from this diabetes dataset that I have and create a histogram of all the heights recorded, but I am getting an error message. Does anyone know what this message means or how to potentially fix it?
library(tidyverse)
diabetes <- read.csv("https://raw.githubusercontent.com/malcolmbarrett/au-stats412-612-01-reading_data/master/diabetes.csv")
just_height <- diabetes[, "height"]
ggplot(just_height, aes(x = height)) +
geom_histogram()
#> Error: `data` must be a data frame, or other object coercible by `fortify()`, not an integer vector.
Hello. I am trying to create a histogram of the height variable from a diabetes dataset from GitHub shown in the below code however R is outputting an error message saying that "data must be a data frame". Does anyone know how to solve this problem or further explain the error message?
library(tidyverse)
diabetes <- read.csv("https://raw.githubusercontent.com/malcolmbarrett/au-stats412-612-01-reading_data/master/diabetes.csv")
just_height <- diabetes[, "height"]
ggplot(just_height, aes(x = height)) +
geom_histogram()
#> Error: `data` must be a data frame, or other object coercible by `fortify()`, not an integer vector.
Created on 2022-02-03 by the reprex package (v2.0.1)
Hi Everybody,
I am trying to create a histogram using the variable "height" for a Github diabetes dataset. Instead, I received the error message" 'data' must be a data frame". Could anyone explain what this message means and what I should do to resolve the problem?
library(tidyverse)
diabetes <- read.csv("https://raw.githubusercontent.com/malcolmbarrett/au-stats412-612-01-reading_data/master/diabetes.csv")
just_height <- diabetes[, "height"]
ggplot(just_height, aes(x = height)) +
+ geom_histogram()
#> Error: `data` must be a data frame, or other object coercible by `fortify()`, not an integer vector.
Created on 2022-02-03 by the reprex package (v2.0.1)
Hello, I am trying to do a histogram of height in the dataset diabetes by using R. However, I met a question with it. When I load the code below, it tells me that " 'data' must bee a data frame, or other object coercible by fortify(), not an integer vector". Does anyone know why this error happen and how can I solve it?
library(reprex)
library(ggplot2)
diabetes <- read.csv("https://raw.githubusercontent.com/malcolmbarrett/au-stats412-612-01-reading_data/master/diabetes.csv")
just_height <- diabetes[, "height"]
ggplot(just_height, aes(x = height)) +
geom_histogram()
#> Error: `data` must be a data frame, or other object coercible by `fortify()`, not an integer vector.
Created on 2022-02-04 by the reprex package (v2.0.0)
Hello, I am trying to create a histogram with the height variable from the diabetes dataset located on Github but instead I am receiving the error saying : data must be a data frame, or other object coercible by fortify(), not an integer vector. How do I correct this error so that I can create the intended histogram?
library(tidyverse)
diabetes <- read.csv("https://raw.githubusercontent.com/malcolmbarrett/au-stats412-612-01-reading_data/master/diabetes.csv")
just_height <- diabetes[, "height"]
ggplot(just_height, aes(x = height)) +
geom_histogram()
#> Error: `data` must be a data frame, or other object coercible by `fortify()`, not an integer vector.
Created on 2022-02-05 by the reprex package (v2.0.1)
I am creating a histogram from a diabetes.csv file. The error message seems to be applicable for any dataset. I was expecting the histogram to display heights but ended up with an error message indicating 'data' must be a data frame. Does anyone know how I can solve this?
library(tidyverse)
diabetes <- read.csv("https://raw.githubusercontent.com/malcolmbarrett/au-stats412-612-01-reading_data/master/diabetes.csv")
just_height <- diabetes[, "height"]
ggplot(just_height, aes(x = height)) +
geom_histogram()
#> Error: `data` must be a data frame, or other object coercible by `fortify()`, not an integer vector.
I am looking to create a histogram illustrating heights within the diabetes data set. This code generates an error message saying that the data is not a data frame, coercible(?) by fortify(), or not an integer vector. Can anyone help me figure out what's needed for the desired result?
library(tidyverse)
diabetes <- read.csv("https://raw.githubusercontent.com/malcolmbarrett/au-stats412-612-01-reading_data/master/diabetes.csv")
just_height <- diabetes[, "height"]
ggplot(just_height, aes(x = height)) +
geom_histogram()
#> Error: `data` must be a data frame, or other object coercible by `fortify()`, not an integer vector.
I'm expecting the inside of the bars to be green, but it's only outlining the bars green. I also don't understand the warning regarding the 5 removed rows. Is it implying that some of the values were infinite?
library(tidyverse)
diabetes <- read.csv("https://raw.githubusercontent.com/malcolmbarrett/au-stats412-612-01-reading_data/master/diabetes.csv")
just_height <- diabetes["height"]
ggplot(just_height, aes(x = height)) +
geom_histogram(color = "green")
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#> Warning: Removed 5 rows containing non-finite values (stat_bin).
Created on 2022-02-08 by the reprex package (v2.0.1)
The dataframe just_height contains 2 NA values, which can be seen using na.omit:
nrow(just_height)
[1] 403 #Dataframe has 403 rows
nrow(na.omit(just_height))
[1] 398 #Only 398 rows if omitting NA values
That's what causes the non-finite values warning. For coloring the inside of the bars, choose fill. The warning about Addressing these two issues might look like this:
ggplot(na.omit(just_height), aes(x = height)) +
geom_histogram(fill = "green", color="black", bins=30)
Good luck in the course!
1 Like
Try leaving out the comma :
just_height <- diabetes[ "height"]
Thank you very much! 
diabetes <- read.csv("https://raw.githubusercontent.com/malcolmbarrett/au-stats412-612-01-reading_data/master/diabetes.csv")
just_height <- diabetes[, "height"]
ggplot(just_height, aes(x = height)) +
geom_histogram()
#> Error in ggplot(just_height, aes(x = height)): could not find function "ggplot"
Created on 2022-02-08 by the reprex package (v2.0.1)
Hi!
I was trying to create a histogram using this code and received the error in ggplot saying that it could not find function "ggplot". I have downloaded the library(tidyverse) and it said it attached the ggplot package but somehow my code is still giving me this error. How can I get this package to run? Thanks!
Hello!
I wrote a code in R and was expecting to create a histogram using the height variable from my data set "diabetes". The code was running okay until I called ggplot function.I got an error that I data must be in data frame and not an integer vector. How can I fix this error?
Thank you for your help .
diabetes <- read.csv("https://raw.githubusercontent.com/malcolmbarrett/au-stats412-612-01-reading_data/master/diabetes.csv")
just_height <- diabetes[, "height"]
library(tidyverse)
ggplot(just_height, aes(x = height)) +
geom_histogram()
#> Error: `data` must be a data frame, or other object coercible by `fortify()`, not an integer vector.
Created on 2022-02-08 by the reprex package (v2.0.1)
Hi all!
I received this error in my code, and I can't seem to figure out why. I'm trying to create a histogram of the height variable, and I have installed the tidyverse package, so I am not sure why it cannot find the function "ggplot". Any ideas on how to fix this? Thanks!
diabetes <- read.csv("https://raw.githubusercontent.com/malcolmbarrett/au-stats412-612-01-reading_data/master/diabetes.csv")
just_height <- diabetes[, "height"]
ggplot(just_height, aes(x = height)) +
geom_histogram()
#> Error in ggplot(just_height, aes(x = height)): could not find function "ggplot"
Created on 2022-02-08 by the reprex package (v2.0.1)
I am creating a histogram from a diabetes.csv file. Does anyone know what happened to this?
library(tidyverse)
diabetes <- read.csv("https://raw.githubusercontent.com/malcolmbarrett/au-stats412-612-01-reading_data/master/diabetes.csv")
just_height <- diabetes[, "height"]
ggplot(na.omit(just_height), aes(x = height)) +
geom_histogram(bins=30)
#> Error: `data` must be a data frame, or other object coercible by `fortify()`, not an integer vector.
I was expecting the data to produce a histogram that displayed the height of the individual surveyed. Why wasn't the data presented in an acceptable data frame?
diabetes <- read.csv("https://raw.githubusercontent.com/malcolmbarrett/au-stats412-612-01-reading_data/master/diabetes.csv")
just_height <- diabetes[, "height"]
ggplot(just_height, aes(x = height)) +
geom_histogram()
#> Error in ggplot(just_height, aes(x = height)): could not find function "ggplot"
Created on 2022-02-09 by the reprex package (v2.0.1)
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