![]() ThisĬode replicates the results of the DOS program provided by the USĮPA to perform the Spearman-Karber method, available at (1977) are incorrect, as per Hamilton et al. (1977) Note that the confidence intervals given in HamiltonĮt al. This code was validated using the data given in Hamilton etĪl. Opposite response, e.g., swap the count that survive for the count that do If using data with a decreasing trend, simply use the Increasing water salinity: at low salinity all fish survive, while at high Instance, one user had data measuring the survival of freshwater fish under However, some studies may result in data with a decreasing trend. This code expects the data to have an increasing slope once smoothed. The standard deviation of the mu estimate. The estimated LD50, given a different name to preventĬonfusion with calculations on a log scale If = FALSE, instead of LD50 and gsd, the list will The geometric standard deviation of the LD50Ī confidence interval for the measurement, at The estimated effective dose for 50 percent of the 0 gives the untrimmedįurther arguments to be passed to or from methods.Ī list of type "tskresult" containing the following components: Subjects at each dose), and r (number of subjects that respond).įraction of subjects responding in a controlĪ number between 0 and. Must contain the three components x (doses), n (number of )Ī non-empty numeric vector of number of subjects atĮach dose, of the same length as x, or a number if the number ofĪ non-empty numeric vector of the number ofĭata frame containing the data to be analyzed. ) # S3 method for class 'tskresult' print ( x. ) # S3 method for class 'ame' tsk ( input, control = 0, trim = 0, conf.level = 0.95, = TRUE. ) # Default S3 method: tsk ( x, n, r, control = 0, trim = 0, conf.level = 0.95, = TRUE. ![]()
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