![]() ![]() The reason is that formulas capture their environment, strings do not. It's better to use myFormula <- y ~ fitModel(x, a) The first is using a string for a formula. # Other calculations done with fitModel() NlsOutput <- nlsLM(formula = myFormula, start = init, data = Data) # Minimum Working Example to reproduce error if we define "fitModel" and "obscureFunction" in R_GlobalEnv and call "obscureFunction" from the console. ![]() #BISCALE FUNCTION RCODE CODE#I also don't understand why the original code works fine if the body of "topFunction" is run without calling it, i.e. I don't understand how "fitModel" can be evaluated in the environment of "fitModel" when the function can't be found in the calling environment of "obscureFunction", in other words I don't understand why this code change works. MyFormula <- "y ~ eval(fitModel(x, a), envir = environment(fitModel))" This I fixed by making the following change to "myFormula": After reading a thing or two on environments I think I understand why this is happening in this case, "fitModel" is not defined in the execution environment of "obscureFunction". Running the script should yield the error, Error in eval(expr, envir, enclos) : could not find function "fitModel". Round all answers to two decimal places.The R code shown below is a minimal working example to reproduce an error that I can't say I understand. Unanswered Fill in the Blanks Type your answers in all of the blanks and tubmit X Χ' Ω - Using the average difference in the sampled ride times, the critical value required for this 95% confidence interval, the standard deviation of the paired differences, and the sample size, construct the 95% confidence interval that estimates the true average difference in ride time between the standard bike and the "blast-o-bike". Round your answer to two decimal places Type your numeric answer and submit Unanswered Submit Bicycle Comparisons Homework - Unanswered Using the qt() function in R, calculate -1.0.975, the critical value required to construct the 95% confidence interval for the average difference in ridetimes between the standard bike and the "blast-o-bike". Type your numeric answer and submit Unanswered Submit Calculate the difference for each pair by subtracting the "blast-o-bike" ride time off the standard bike ride time. ![]() Bicycle Comparisons Homework - Unanswered Calculate Sa, the standard deviation of the paired differences from the sample. I Type your numeric answer and submit Unanswered Submit Question 1c. Calculate the difference for each pair by subtracting the "blast- o-bike" ride time off the standard bike ride time. Unanswered Calculated, the average of the paired differences from the sample. The population of cyclists' speeds is assumed to be Normally distributed. A simple random sample of 5 competitive cyclists were asked to record their times on the same route while first riding a standard racing bicycle and then riding the "Blast-o-bike" the manufacturer's new model. Transcribed image text: Question 1 A bicycle manufacturer, claims their bike will increase speed and hence reduce route times for cyclists. ![]()
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