bayes4psy-datasets {bayes4psy} R Documentation

## Datasets for bayes4psy examples Example datasets for use in rstanarm examples and vignettes. The datasets were extracted from the internal MBLab http://www.mblab.si repository. MBLab is a research lab at the Faculty of Arts, Department of Psychology, University of Ljubljana, Slovenia.

### Description

Datasets for bayes4psy examples Example datasets for use in rstanarm examples and vignettes. The datasets were extracted from the internal MBLab http://www.mblab.si repository. MBLab is a research lab at the Faculty of Arts, Department of Psychology, University of Ljubljana, Slovenia.

### Format

adaptation_level_small

Small dataset on subjects picking up weights and determining their weights from 1..10.

Source: Internal MBLab repository.

50 obs. of 3 variables

• sequence sequence index.

• weight actual weight of the object.

• response subject's estimation of weight.

adaptation_level

Data on subjects picking up weights and determining their weights from 1..10.

Source: Internal MBLab repository.

2900 obs. of 6 variables

• subject subject index.

• group group index.

• part first or second part of the experiment.

• sequence sequence index.

• weight actual weight of the object.

• response subject's estimation of weight.

#'

after_images_opponent_process

Colors predicted by the opponent process theory.

Source: Internal MBLab repository.

6 obs. of 7 variables

• stimuli name of the color stimuli.

• r value of the R component in the RGB model.

• g value of the G component in the RGB model.

• b value of the B component in the RGB model.

• h value of the H component in the HSV model.

• s value of the S component in the HSV model.

• v value of the V component in the HSV model.

#'

after_images_opponent_stimuli

Stimuli used in the after images experiment.

Source: Internal MBLab repository.

6 obs. of 7 variables

• r_s value of the R component in the RGB model.

• g_s value of the G component in the RGB model.

• b_s value of the B component in the RGB model.

• stimuli name of the color stimuli.

• h_s value of the H component in the HSV model.

• s_s value of the S component in the HSV model.

• v_s value of the V component in the HSV model.

#'

after_images_trichromatic

Colors predicted by the trichromatic theory.

Source: Internal MBLab repository.

6 obs. of 7 variables

• stimuli name of the color stimuli.

• r value of the R component in the RGB model.

• g value of the G component in the RGB model.

• b value of the B component in the RGB model.

• h value of the H component in the HSV model.

• s value of the S component in the HSV model.

• v value of the V component in the HSV model.

#'

after_images

Data gathered by the after images experiment.

Source: Internal MBLab repository.

1311 obs. of 12 variables

• subject subject index.

• rt reaction time.

• r value of the R component in the RGB model of subject's response.

• g value of the G component in the RGB model of subject's response.

• b value of the B component in the RGB model of subject's response.

• stimuli name of the color stimuli.

• r_s value of the R component in the RGB model of the shown stimulus

• g_s value of the G component in the RGB model of the shown stimulus

• b_s value of the B component in the RGB model of the shown stimulus

• h_s value of the H component in the HSV model of the shown stimulus

• s_s value of the S component in the HSV model of the shown stimulus

• v_s value of the V component in the HSV model of the shown stimulus

#'

flanker

Data gathered by the flanker experiment.

Source: Internal MBLab repository.

8256 obs. of 5 variables

• subject subject index.

• group group index.

• congruencty type of stimulus.

• result was subject's reponse correct or wrong?

• rt reaction time.

#'

stroop_extended

All the data gathered by the Stroop experiment.

Source: Internal MBLab repository.

41068 obs. of 5 variables

• subject subject ID.

• cond type of condition.

• rt reaction time.

• acc was subject's reponse correct or wrong?

• age age of subject.

#'

stroop_simple

All the data gathered by the Stroop experiment.

Source: Internal MBLab repository.

61 obs. of 5 variables

• subject subject ID.

• reading_neutral average response time for reading neutral stimuli.

• naming_neutral average response time for naming neutral stimuli.

• reading_incongruent average response time for reading incongruent stimuli.

• naming_incongruent average response time for naming incongruent stimuli.

### Examples


# Example of Bayesian bootstraping on 'adaptation_level_small' dataset
# linear function of seqence vs. response
lm_statistic <- function(data) {
lm(sequence ~ response, data)\$coef
}