bayes4psy-datasets: Datasets for bayes4psy examples Example datasets for use in...

In bayes4psy: User Friendly Bayesian Data Analysis for Psychology

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
}

# load data
data <- adaptation_level_small

# bootstrap
data_bootstrap <- b_bootstrap(data, lm_statistic, n1=1000, n2=1000)

bayes4psy documentation built on Aug. 8, 2025, 7:29 p.m.