Load data
# Read
file_names <- dir(path = wd, pattern = "\\.txt")
file_names <- file.path(wd, file_names)
names(file_names) <- file_names
Data <- plyr::ldply(.data = file_names, .fun = read.table, colClasses = "character", sep = ";", fill = TRUE, header = FALSE, .id = "FileName")
## Same with data.table for test
# list_of_files <- list.files(path = wd, recursive = FALSE,
# pattern = "\\.txt$",
# full.names = TRUE)
# Data_test <- data.table::rbindlist(sapply(list_of_files, data.table::fread, simplify = FALSE),
# use.names = TRUE, idcol = "FileName")
Clean data
# simple
ggplot(Data_zpg, aes(x = Cond, y = HelpingScore)) +
geom_boxplot() +
stat_summary(fun.data = mean_se, colour = "darkred") +
xlab("") +
theme(axis.text.x = element_text(angle = 90, hjust = 1)) +
ggpubr::stat_compare_means(method = "t.test",
label = "p.format", # formated p-values
# paired = TRUE,
comparisons = list(c("CTRL", "ES"),
c("ES", "JRAD"),
c("CTRL", "JRAD")))
# by trial type
ggplot(Data_zpg, aes(x = Cond, y = HelpingScore)) +
facet_wrap(~V4) +
geom_boxplot() +
stat_summary(fun.data = mean_se, colour = "darkred") +
xlab("") +
theme(axis.text.x = element_text(angle = 90, hjust = 1)) +
ggpubr::stat_compare_means(method = "t.test",
label = "p.format", # formated p-values
# paired = TRUE,
comparisons = list(c("CTRL", "ES"),
c("ES", "JRAD"),
c("CTRL", "JRAD")))
Session Info
R version 3.6.1 (2019-07-05)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 8.1 x64 (build 9600)
Matrix products: default
locale:
[1] LC_COLLATE=Romanian_Romania.1250 LC_CTYPE=Romanian_Romania.1250 LC_MONETARY=Romanian_Romania.1250 LC_NUMERIC=C
[5] LC_TIME=Romanian_Romania.1250
attached base packages:
[1] grid stats graphics grDevices utils datasets methods base
other attached packages:
[1] plyr_1.8.4 gridExtra_2.3 plotly_4.9.0 summarytools_0.8.8 DT_0.5 ggpubr_0.2.5 magrittr_1.5 broom_0.5.2
[9] papaja_0.1.0.9842 psych_1.8.12 forcats_0.4.0 stringr_1.4.0 dplyr_0.8.3 purrr_0.3.2 readr_1.3.1 tidyr_1.0.0
[17] tibble_2.1.3 ggplot2_3.2.1 tidyverse_1.2.1 pacman_0.5.1
loaded via a namespace (and not attached):
[1] Rcpp_1.0.2 lubridate_1.7.4 lattice_0.20-38 assertthat_0.2.1 zeallot_0.1.0 digest_0.6.21 R6_2.4.0 cellranger_1.1.0
[9] backports_1.1.4 httr_1.4.0 pillar_1.4.2 rlang_0.4.0 lazyeval_0.2.2 readxl_1.1.0 data.table_1.11.8 rstudioapi_0.8
[17] labeling_0.3 foreign_0.8-71 pander_0.6.3 htmlwidgets_1.3 RCurl_1.95-4.11 munsell_0.5.0 compiler_3.6.1 modelr_0.1.5
[25] xfun_0.9 pkgconfig_2.0.3 mnormt_1.5-5 htmltools_0.3.6 tidyselect_0.2.5 codetools_0.2-16 matrixStats_0.54.0 viridisLite_0.3.0
[33] crayon_1.3.4 withr_2.1.2 bitops_1.0-6 nlme_3.1-140 jsonlite_1.6 gtable_0.3.0 lifecycle_0.1.0 scales_1.0.0
[41] cli_1.1.0 stringi_1.4.3 ggsignif_0.4.0 pryr_0.1.4 xml2_1.2.0 ellipsis_0.3.0 rapportools_1.0 generics_0.0.2
[49] vctrs_0.2.0 tools_3.6.1 glue_1.3.1 hms_0.5.1 parallel_3.6.1 colorspace_1.4-1 rvest_0.3.2 knitr_1.25
[57] haven_2.1.1
A work by Claudiu Papasteri
claudiu.papasteri@gmail.com
---
title: "<br> O1B Report - ZPG" 
subtitle: "ZPG Analyses"
author: "<br> Claudiu Papasteri"
date: "`r format(Sys.time(), '%d %m %Y')`"
output: 
    html_notebook:
            code_folding: hide
            toc: true
            toc_depth: 2
            number_sections: true
            theme: spacelab
            highlight: tango
            font-family: Arial
            fig_width: 10
            fig_height: 9
    pdf_document: 
            toc: true
            toc_depth: 2
            number_sections: true
            # fontsize: 11pt
            # geometry: margin=1in
            # fig_width: 7
            # fig_height: 6
            # fig_caption: true
    # github_document: 
            # toc: true
            # toc_depth: 2
            # html_preview: false
            # fig_width: 5
            # fig_height: 5
            # dev: jpeg
---


<!-- Setup -->


```{r setup, include = FALSE}
# kintr options
knitr::opts_chunk$set(
  comment = "#",
  collapse = TRUE,
  echo = TRUE, warning = TRUE, message = TRUE, cache = TRUE       # echo = False for github_document, but will be folded in html_notebook
)

# General R options and info
set.seed(111)               # in case we use randomized procedures       
options(scipen = 999)       # positive values bias towards fixed and negative towards scientific notation

# Load packages
if (!require("pacman")) install.packages("pacman")
packages <- c(
  "tidyverse",      # best thing that happend to me
  "psych",          # general purpose toolbox for personality, psychometric theory and experimental psychology
  "papaja",         # for APA style
  "broom",          # for tidy modelling
  "ggplot2",        # best plots
  "ggpubr",         # ggplot2 to publication quality
  "DT",             # nice searchable and downloadable tables
  "summarytools",
  "plotly",
  "gridExtra",
  "grid",
  "plyr"
  # , ...
)
if (!require("pacman")) install.packages("pacman")
pacman::p_load(char = packages)

# Themes for ggplot2 ploting (here used APA style)
theme_set(theme_apa())
```

```{r working_directory, include = FALSE}
# if needed
wd <- "E:/Cinetic idei noi/Date ZPG si EA/ZPG date corectate Alexandra"
# setwd(wd)
# knitr::opts_knit$set(root.dir = wd)   # new way of setwd for mardown
```


<!-- Report -->


# Load data

```{r raw_data, results = 'hide', cache.extra = file.info("diamonds.csv")}
# Read
file_names <- dir(path = wd, pattern = "\\.txt")
file_names <- file.path(wd, file_names)
names(file_names) <- file_names
Data <- plyr::ldply(.data = file_names, .fun = read.table, colClasses = "character", sep = ";", fill = TRUE, header = FALSE, .id = "FileName")

## Same with data.table for test
# list_of_files <- list.files(path = wd, recursive = FALSE,
#                             pattern = "\\.txt$",
#                             full.names = TRUE)
# Data_test <- data.table::rbindlist(sapply(list_of_files, data.table::fread, simplify = FALSE),  
#                                      use.names = TRUE, idcol = "FileName")
```


## Clean data

```{r clean_data, echo=FALSE, warning=FALSE}
# 1. SubjectID
# 2. Trialnumber                      = V2
# 3. Trialtype                        = V3
# 4. Gatesequence                     = V4
# 5. Distress (1 = yes, 0 = no)       = V5
# 6. Helping (1 = yes, 0 = no)        = V6
# 7. Timetohelp                       = V7
# 8. DiewithKey (888)  seldomly pacman is killed in front of a gate although subject still has the key (if opponent’s pacman already reached the next trigger point)  this variable notes these instances so that this trial should be taken out of the analysis
# 9. TreasureReached (1 = yes, 0 = no)
# 10. TimetoReachTreasure
# 11. Starappeared (1 = yes, 0 = no)
# 12. Startaken (-1 = other player, 0 = no one, 1 = self)
# 13. TimetotakeStar
# 14. CompetitionStar (1 = yes, 0 = no)  star is competition star if opportunity to help and opportunity to take star occur at the same time  so far this occurs in 50% of the reciprocity unfair trials
# 15. Trialtime  calculated as average of practice trials plus 5 seconds

Data <-
  Data %>%
  dplyr::select(-V1) %>%
  dplyr::mutate(Name = stringr::str_remove_all(FileName, paste0(wd,"/"))) %>%
  dplyr::mutate(Name = stringr::str_remove_all(Name, ".txt")) %>%
  dplyr::mutate(Name = stringr::str_remove_all(Name, "zi1")) %>%
  dplyr::mutate(Name = stringr::str_remove_all(Name, "zi2")) %>%
  dplyr::mutate(Name = stringr::str_remove_all(Name, "zi3")) %>%
  dplyr::mutate(Name = stringr::str_remove_all(Name, "pre")) %>%
  tidyr::separate(Name, into = c("ID", "Cond"), "(?<=[0-9])(?=[a-zA-Z])") %>%
  dplyr::mutate(Cond = ifelse(is.na(Cond), "CTRL", Cond)) %>%
  dplyr::mutate(Cond = ifelse(Cond == "JRAd", "JRAD", Cond)) %>%
  dplyr::mutate(Cond = as.factor(Cond)) %>%
  dplyr::mutate_at(vars(-FileName, -ID, -Cond, -V4), as.numeric) %>%
  dplyr::select(FileName, ID, Cond, dplyr::everything()) %>%
  dplyr::rename(Helping = V5, Distress = V6, Timetohelp = V7, DiewithKey = V8) 
  

Data %>%
  dplyr::count(FileName) %>%           # 7zi3JRAD.txt has 33, 10zi2JRAD.txt has 22
  print(n = Inf)

# structure pf ZPG trials
#     trail             n
# 1 " 1X3O1X1O3O1O"     2
# 2 " 1X3O1X1O3O4O"     2
# 3 " 1X3X1O3O3O4O"     1
# 4 " 1X4O1X3O4O3O"     1
# 5 " 2O1X4X3O1O3O"     1
# 6 " 3O1O2X4X3O1O"     1
# 7 " 3O2X2O4O1X3O"     1
# 8 " 3X1O4X1O3O2O"     1
# 9 " 4O2O1X3O1X3O"     1

Data <-
  Data %>%
   group_by(FileName) %>% 
   slice(tail(row_number(), 11))  %>%     # keep only last 11 rows for each subject
   ungroup()
  
Data %>%
  dplyr::count(FileName) %>%           
  print(n = Inf)

# Create dichotmous HelpingScore (Helping var in data is related to trial not behavior)
Data_zpg <- 
  Data %>%
  dplyr::filter(DiewithKey != 888) %>% 
  dplyr::mutate(HelpingScore = ifelse(Timetohelp >= 0, 1, 0))


# table(Data$Helping, Data$V4)

# psych::describeBy(Data$Helping, group = Data$Cond)  # exactly the same by Cond
# aggregate(Helping ~ ID, data = Data, FUN = mean)     # exactly the same by ID
# 
# psych::describeBy(Data$Timetohelp, group = Data$Cond)  # Not exactly the same by Cond
# aggregate(Timetohelp ~ ID, data = Data, FUN = mean)     # Not exactly the same by ID
```

```{r t_test}

ggpubr::compare_means(HelpingScore ~ Cond, data = Data_zpg, method = "t.test", paired = FALSE)

# simple
ggplot(Data_zpg, aes(x = Cond, y = HelpingScore)) +
  geom_boxplot() +
  stat_summary(fun.data = mean_se,  colour = "darkred") +
  xlab("") +
  theme(axis.text.x = element_text(angle = 90, hjust = 1)) +
  ggpubr::stat_compare_means(method = "t.test",
                             label = "p.format",                                         # formated p-values
                             # paired = TRUE, 
                             comparisons = list(c("CTRL", "ES"),
                                                c("ES", "JRAD"),
                                                c("CTRL", "JRAD"))) 


```


```{r t_test2, fig.height=11, fig.width=9}
# by trial type
ggplot(Data_zpg, aes(x = Cond, y = HelpingScore)) +
  facet_wrap(~V4) +
  geom_boxplot() +
  stat_summary(fun.data = mean_se,  colour = "darkred") +
  xlab("") +
  theme(axis.text.x = element_text(angle = 90, hjust = 1)) +
  ggpubr::stat_compare_means(method = "t.test",
                             label = "p.format",                                         # formated p-values
                             # paired = TRUE, 
                             comparisons = list(c("CTRL", "ES"),
                                                c("ES", "JRAD"),
                                                c("CTRL", "JRAD")))
```




<br>
<br>

<!-- Session Info and License -->

<br>

# Session Info
```{r session_info, echo = FALSE, results = 'markup'}
sessionInfo()    
```

<!-- Footer -->
&nbsp;
<hr />
<p style="text-align: center;">A work by <a href="https://github.com/ClaudiuPapasteri/">Claudiu Papasteri</a></p>
<p style="text-align: center;"><span style="color: #808080;"><em>claudiu.papasteri@gmail.com</em></span></p>
&nbsp;
