case_when in mutate pipe
As of version 0.7.0 of dplyr, case_when works within mutate as follows: For more information: http://dplyr.tidyverse.org/reference/case_when.html
R
Extracting value specific rows in R
Assuming that your data is in a data frame called mydata, you can select the rows you want by writing It might be easier to understand by doing it in multiple steps:
Add color to boxplot – “Continuous value supplied to discrete scale” error
First, providing sample data would help. Since you didn’t, here is some: Parts 1 and 2 stem from the same problem. Age is a continuous variable, but you are trying to use it in a discrete scale (by specifying the color for specific values of age). In general, a scale maps the variable to the visual; for … Read more
Editing legend (text) labels in ggplot
The tutorial @Henrik mentioned is an excellent resource for learning how to create plots with the ggplot2 package. An example with your data: this results in: As mentioned by @user2739472 in the comments: If you only want to change the legend text labels and not the colours from ggplot’s default palette, you can use scale_color_hue(labels = c(“T999”, “T888”)) instead … Read more
Error in colMeans(x, na.rm = TRUE) : ‘x’ must be numeric, What should I do in this situation?
As Roland pointed out, you can not scale categorical variables… In your case subsetting the data.frame to the columns with numeric values would help.
R ggplot2 scale_y_continuous : Combining breaks & limits
As JasonAizkalns commented your problem can’t be solved without n reproducible example. The code below does what you want on the iris data and should work for your example as well.
Error in plot.window(…) : need finite ‘xlim’ values
The problem is that you’re (probably) trying to plot a vector that consists exclusively of missing (NA) values. Here’s an example: In your example this means that in your line plot(costs,pseudor2,type=”l”), costs is completely NA. You have to figure out why this is, but that’s the explanation of your error. From comments: Scott C Wilson: Another possible cause of … Read more
Remove a row from a data table in R
You can do this via
Error in Confusion Matrix : the data and reference factors must have the same number of levels
I’ve trained a Linear Regression model with R caret. I’m now trying to generate a confusion matrix and keep getting the following error: Error in confusionMatrix.default(pred, testing$Final) : the data and reference factors must have the same number of levels The error occurs when generating the confusion matrix. The levels are the same on both … Read more
SummarySE (Rmisc package) to produce a barplot with error bars (ggplot2)
Both the code variants that you posted won’t work because they are using the function summarySE() wrongly: Version 1: You use Family as the measurement variable, which means that you ask the function to give you mean, standard deviation, etc. of Family. Version2: You correctly group by Family, but now you supply many measurement variables. This does not work because summarySE() expects a … Read more