I am using react-table-6, I am trying to group my table data with pivot grouping. I have got to work to some extent, but my requirement is different. I have given my requirement in the GitHub link.
Can you help me in grouping the data as per the requirement. Thanks in advance.
Related
(I'm new here so hopefully I am asking this in the correct way).
I am using Rmarkdown to create a summary table, and am using dfSummary within the summarytools package. I have created the table using this code:
Here is a picture of my current R-markdown:
I would like the order of the results for character variables to be listed in order of descending frequency, not alphabetical. I have read many pages summarize the package but cannot find an answer. Any help would be great!
There is no option to do that in summarytools directly. (You can open an issue on the GitHub project page for a feature request.) The ordering by frequency is done only when there are more distinct values than allowed by max.distinct.values.
The easiest way to proceed would be to recode your character variable with forcats::fct_infreq:
library(forcats)
df$var_f <- fct_infreq(df$var)
The order of factor levels will be preserved in the the results.
I have a large table with multiple columns, each column being one different model.
In the rows are the different results of these models at a specific location on a map.
See picture (I had to change the column names)...
Now, I want to check with an ANOVA in R if there is a signifanct difference between the results at every location between the different models. In other words: If the models are responsible for a difference, if there is any.
I am not 100% sure an ANOVA is the best way to go, but I want to try.
How can I reshape my table to long format (is it?)
I tried with "gather" (tidyr) but I am not sure what the inputs are.
Thank you!
A friend helped me. A simple stack(data) did the trick!
I am relatively new to R and need help Generating a table with two rows. one having a mean of data sorted by year. the second having a difference of data by year. the Data isn't as important as how to link it to the years and then organizing it by year. any help or tips would be greatly appreciated
I am trying to create a flexdashboard that includes a Data Table along with Crosstalk Filters. My data includes similar data that I would like to aggregate to find the means of certain categories according to filter criteria. Basically, the table will be aggregated data.
It is my understanding that Crosstalk wasn't meant to aggregate data, but does anyone know a way around this? I'm willing to look at any way possible.
Thank you!
You are looking for the summaryWidget package
link to github page
I'm trying to create a subset data frame, that only includes countries (my statistical unit) that have a population of greater than 10million. Essentially trying to filter out units based on their value of a particular variable? Any input would be great.
I.e.
dat2 <- na.omit(subset(world.data, select=c("year","countrycode",
"ctryname","eg_use_elec_kh_pc","sp_urb_totl_in_zs")))
is what i use to eliminate variables but not sure how to filter the units using conditions or parameters.
Thank you for your efforts. I apologize if this questions been asked previously. As I'm new to R and statistical analysis, phrasing my questions properly, as well as understanding previously asked questions, can be a bit difficult.