I typically use R Markdown to prepare scripts that I can easily share with my colleagues. In the past, I exported high-quality plots from RStudio using the ‘Export/Save as Image…/Save as SVG’ feature, which seems to be not an option with R Markdown. One aspect I find particularly useful is the ability to dynamically adjust the plot size by dragging the RStudio window, allowing for on-the-spot decisions about the best size for the plot. Could you suggest a method for writing scripts that are not only presentable but also utilize RStudio’s graphical user interface to export plots at the desired size? Also, open to hear about better workflows.

Data was placed on desktop
carData=read.csv(‘mtcars.csv’) #this I wrote in code chunk

Question 8B Perform an appropriate statistical test on your PVC data from the introduction to sampling techniques lab and write a properly formatted results statement. grassland_dat <- data %>% filter(Environment == “Grassland”) %>% select(PVC) riparian_dat <- data %>% filter(Environment == “Riparian”) %>% select (PVC) t_test_result <- t.test(grassland_dat$PVC), riparian_dat$PVC) t_test_result # # Welch two Sample t-test […]

I am running the code, but there have been frequent R crash reconstruction tasks recently.
Any help in resolving these errors is much appreciated.

> # Make predictions on the test set > predictions_test <- predict(pmlr_model_no_outliers, newdata = temiller_extr_aug) > # Calculate residuals of the test set > residuals_test <- residuals(pmlr_model_no_outliers, newdata = temiller_extr_aug) > # Check the lengths of predictions and residuals > length(predictions_test) [1] 29 > length(residuals_test) [1] 66 I provide the console output of code that […]

I’m using RStudio and trying to fit my data to a thermal performance curve model using rTPC, and keep encountering this error when trying to fit the data:

I am making a PLS-DA plot in Rstudio, and wanted to show an ellipse around each group.
Previously my code worked fine, but today when I rerun the code, the ellipse around 1 of my groups looks incomplete. Does anyone know why that happened (even though it worked fine previously). I dont get warnings from R.

So my question is a bit like the one posted here: Count the number of non-zero elements of each column, but I also have NAs in my dataframe. I want to count the number of non-zero, non-NaN values in each column .

I was fitting the Cox PH model using the Bayesian approach in R software (Using rstanarm package). It shows mean error message “could not find function “stan_surv””.

How draw the quartile curve in the image (Quantile curve).I’m running the code but it’s giving me errors. > plot(NULL,NULL,xlim=dt,ylim=c(min(Q1),max(Q3)), + xlab=”lambda”,ylab=”reflectance”) Error in plot.window(…) : invalid ‘xlim’ value > lines(lambda,colMeans(ts),lwd=2,col=”blue”) Error in colMeans(ts) : ‘x’ must be an array of at least two dimensionst` Quantile curve](https://i.sstatic.net/JpjUsMW2.jpg) library(zoo) `x <- c(0.231,0.186,0.163,0.167,0.2,0.232,0.252, 0.268,0.272,0.273,0.269,0.255,0.224,0.181,0.162) dt <- seq(as.Date(“1995-01-01”), […]