vcdExtra | Extensions and additions to vcd : Visualizing Categorical | Data Visualization library
kandi X-RAY | vcdExtra Summary
kandi X-RAY | vcdExtra Summary
Extensions and additions to vcd: Visualizing Categorical Data
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of vcdExtra
vcdExtra Key Features
vcdExtra Examples and Code Snippets
Lines of Code : 3
License : No License
Copy install.packages("vcdExtra")
if (!require(remotes)) install.packages("remotes")
remotes::install_github("friendly/vcdExtra")
Community Discussions
Trending Discussions on vcdExtra
QUESTION
I have a frequency distribution of observations, grouped into counts within class intervals. I want to fit a normal (or other continuous) distribution, and find the expected frequencies in each interval according to that distribution.
For example, suppose the following, where I want to calculate another column, expected giving the
expected number of soldiers with chest circumferences in the interval given by chest, where these
are assumed to be centered on the nominal value. E.g., 35 = 34.5 <= y < 35.5. One analysis I've seen gives the expected frequency in this cell as 72.5 vs. the observed 81.
ANSWER
Answered 2020-Dec-20 at 18:24here is how you could calculate the expected frequencies for each group assuming Normality.
QUESTION
In R packages, there is a possibility of reexporting functions. This makes it easy to recycle the same function without having to repeat the code across different packages.
For example, devtools::session_info function is a reexport of sessioninfo::session_info:
ANSWER
Answered 2020-Feb-04 at 21:37Data is searched for in a loaded package in a different fashion from the namespace for functions, so it's not technically an export. But you can re-export another package's dataset, which will operate in the same way with one exception: it will not be found using the data() function, which just searches the data/ directory for data objects. The example below:
will work as if it were a "lazy loaded" dataset, e.g. myiris if your package is attached, or using yourpackage::myiris;
will not work with data(myiris, package = "yourpackage").
QUESTION
For example, this works:
...ANSWER
Answered 2018-Feb-25 at 00:23Here is a solution based on the package ggmosaic.
Important: ggmosaic works fine with the CRAN version of ggplot2 which can be installed using install.packages("ggplot2")
QUESTION
I want to visualize violent crimes by county in North Carolina
My dataset looks a little like this:
subregion violent_crime
...ANSWER
Answered 2017-Nov-27 at 01:55library(ggplot2)
library(dplyr)
# Get NC counties
nc_map <- tbl_df(map_data("county", region = "north carolina"))
# Simulate data since you didn't use dput() as the R section of SO instructs you to do
set.seed(1492)
data_frame(
subregion = unique(nc_map$subregion),
crime = sample(50:500, length(unique(nc_map$subregion)))
) -> crime_df
# Join the values to the map
nc_map <- left_join(nc_map, crime_df)
# Plot it
ggplot() +
geom_polygon(data=nc_map, color="black",
aes(x=long, y=lat, group=subregion, fill=crime)) +
viridis::scale_fill_viridis(name="Crime ", direction=-1) +
coord_map("polyconic") +
ggthemes::theme_map() +
theme(legend.position="bottom")
QUESTION
I have this dataset of breast cancer
...ANSWER
Answered 2017-Nov-10 at 18:32If you want the heights of the bars to represent values in the data, you can use geom_col with ggplot2
Here is an example with Cancer data
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