plotROC | Interactive ROC plots with ggplot d3.js | Data Visualization library
kandi X-RAY | plotROC Summary
kandi X-RAY | plotROC Summary
Interactive ROC plots with ggplot + d3.js.
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QUESTION
I supposed I have a training sent here.
...ANSWER
Answered 2022-Mar-17 at 17:15The order of your factor levels is ignored by geom_roc
. Notice that whichever way round your assign your levels = c('R', 'M')
, you get the warning:
QUESTION
I'm just trying to plot the ROC curves in a plot grid in Rstudio, the neural net models are all working but the ROC curves just won't go in a grid layout, they plot individually but there's a lot more than this and the markdown file would be like 20 pages long. I've reduced all models to two neurons as dummy-data to make it run quickly, only setwd() and the read in data lines need to be adapted.
...ANSWER
Answered 2021-Dec-07 at 15:28I will give you an answer based on the pROC
package (which I created an maintain).
First I'm creating a list of ROC curves:
QUESTION
Sorry for the mess of how much code I'm posting but I'm missing one of the four ggplots using plot_grid with the package cowplot, there should be four in the grid and for some reason one of them is missing, does anyone know why?
Here's the plot_grids that are missing one of the four graphs:
Here's the error:
...ANSWER
Answered 2021-Nov-25 at 00:52Here is an example:
QUESTION
I'm trying to use ggplot2 using R to graph a train and test curve for the iterative error rates of a neural network. There should be two lines but I'm only seeing just the test line, does anyone know what happened? It looks like when I used head(error_df)
every type is labelled as test for some reason.
Edit: even with just error_df without any subsets it's still not showing the line for the training set's error, this also includes various ranges such as error_df[2500:5000, 7500:10000,]
Here's the ggplot graph:
Here's the code and this is a link to a public google spreadsheet of the data:
...ANSWER
Answered 2021-Nov-24 at 15:51You created a data frame (error_df
) with three columns by concatenating two variable together into one column, thus the variables were filled one after the other. However, you're limiting your plot from rows 5000 to 10000 of the data.
ggplot(error_df[c(5000:10000, 15000:20000),], aes(iter, Error, color = type, each = length(test_error))) + geom_line()
should show both curves.
QUESTION
I'm trying to generate a confusion table using the HMDA
data from the AER
package. So I ran a probit model, predict on testing set, and use table()
function to generate a 2 by 2 plot, but R just returns me a long list, not showing the 2 by 2 matrix that I wanted.
Could anyone tell me what's going on>
...ANSWER
Answered 2020-Feb-25 at 07:17You need to specify the threshold or cut-point for predicting a dichotomous outcome. Predict returns the predicted values, not 0 / 1.
And be careful with the predict
function as the default type is "link", which in your case is the "probit". If you want predict
to return the probabilities, specify type="response"
.
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