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I've never seen this type of error before. I'd probably try (re)installing the most recent version of RStudio to see if that fixes it.

You're welcome!

Yes, everything would work the same way for temperature data

Thanks! I’m really glad it’s helpful

If the columns are all next to one another you can use something like: filter(dataframe, across(10:36, ~ . == "no")) Where 10 is the column number of the first column in the block and 36 is the number of the last column in the block. If they aren't all grouped together you can still use across, but you have to name the columns: df_filtered <- df %>% filter(across(c(col1, col2, col3, col4, ... col26), ~ . == "no"))

You’re welcome!

You’re welcome! This should be the link to the dataset course.naturecast.org/data/portal_timeseries.csv

Did you install the package? If not then run install.packages('stars') and you should be ready to go

You're welcome! I think it should still work, but I don't have any direct experience with that particular case.

Thanks!

Is this in RStudio?

You're welcome! Very glad you're enjoying them!

You're welcome! It is possible to do this in ggplot, but you have to extract the information from dismo instead of doing it automatically. It should look something like this: # Extract the true positive rate (TPR) and false positive rate (FPR) tpr <- evaluation@TPR fpr <- evaluation@FPR # Combine them into a data frame roc_df <- data.frame(FPR = fpr, TPR = tpr) # Use ggplot in the usual way ggplot(roc_df, aes(x = FPR, y = TPR)) + geom_line() + geom_abline(slope = 1, intercept = 0)

Thanks! So glad it was helpful!

Source code for this lesson is available in the text version of the tutorial here: course.naturecast.org/lessons/r-intro-to-forecasting/r_tutorial/, but note that it's been updated to use the newer fable package. The text version of this tutorial is available in our GitHub history here: github.com/weecology/forecasting-course/blob/2e7be6bc4f0aeb265ab55836cdf535f4a863d6c9/content/lessons/R-intro-to-forecasting/r_tutorial.md In general you can find text versions of all tutorials at course.naturecast.org/

@@weecology thanks for the immediate response !

@@user-lu5vf6lb4c you're welcome!

Glad it was helpful!

Thanks!

Glad you enjoyed it!

You’re welcome!

You are welcome!

Thanks! That’s great to hear!

You’re welcome!

You’re welcome! The full dataset is available here: zenodo.org/doi/10.5281/zenodo.1215988 There is a R package designed to make it easy to download and get the pieces of the data you want in useful formats as well: weecology.github.io/portalr/ Let us know if there is anything else we can do to help as you explore the data. You are welcome to email us at portal@weecology.org

You're welcome! I'm really glad it was helpful

Yes, you can find the associated data files here: course.naturecast.org/lessons/r-time-series-data/material/. I'll add them to the Description in a minute.

You're welcome! Glad it helped! I don't work with the dygraph package frequently, but here's the basic idea based on my understanding. dygraph takes a group of time-series as input. In this case if you want to plot the predictions (like shown in the Predicted Lunch Deaths example on rstudio.github.io/dygraphs/) then we just need to get them in the right format. To make this simpler let's work with a version of the seasonal Arima that only has 1 set of prediction intervals: # rerun the forecast with just a single prediction internal seasonal_arima_forecast = seasonal_arima_model, h = 36, level = 80) # store the data as a group of time-series forecasts_for_dygraph = cbind(lower = seasonal_arima_forecast$lower, mean = seaonal_arima_forecast$mean, upper = seasonal_arima_forecast$upper) # make a dygraph following the instructions in the example dygraph(forecasts_for_dygraph) %>% dySeries(c("lower", "mean", "upper") Hope that helps!

You’re welcome

If this is happening when using dbListTables this probably means you didn’t connect to our database file and so R created an empty one. Check that you’ve downloaded the file linked in the description, that it is in your working directory, and that the name when you run dbConnect() matches the file name exactly (including the file extension)

Hello thank you for your help. The tables are now showing, but now I have a new error. When I reference a table it says object not found. Do you know why this is happening? The tables were working fine at first but I had to close and reopen R and that is when the problem arose.@@weecology

@stephensaucedo2746 since you restarted R you’ll need to rerun all of the code to recreate the connection to the database

You're welcome!