One consumer

For some foods there can be only one consumer in the database. No consumers is not possible as foods without consumption are excluded from the data sets. The one consumer needs for an alternative output; it will now show the average and standard deviation of all subjects only and the actual consumption of that one consumer. When a single concentration (S) is used the same is true for the intake ( with a single concentration of 100 ng per kg in the example below).
A situation with one consumer can also occur in a Monte Carlo simulation (M) with a survey with a small number of consumers. Then the system might select one consumer only from the data set. Increasing the number of repetitions might be of help here.

No intakes

When there is only one consumer while using a series of concentrations (F), the intake depends on the concentration selected. If that list contain many zero values and such a concentration is selected, the system will show "no intakes". This situation can of course also occur for a small number of consumers in combination with a series of concentrations with many zero values.

In a Monte Carlo (M) simulation with a small number of consumers it is also possible that no consumers are selected at all. Then there are no consumers. Consequently there will also be no exposed subjects. Increasing the number of repetitions might help to select the actual consumer(s). Or, using an input of a single concentration in stead of a Monte Carlo simulation will show all consumers in the data set.