View phonTools_spectrogram.R
library(phonTools) | |
data(sound) | |
spectrogram(sound) |
View cp_all.sh
#!/bin/bash | |
cp **/*MES.csv All |
View removing_triggers_function.R
# define a function | |
replace_nth_ETG4000 <- function(x, mark) { | |
x <- x %>% group_by(Mark) %>% mutate(Count = row_number()) %>% data.frame() | |
double_marks <- which(x$Mark == mark & x$Count %% 2 == 0) | |
x$Mark[double_marks] <- 0 | |
x <- subset(x, select = -Count) | |
return(x) | |
} | |
# remove second occurrence of Mark 2 |
View removing_triggers_cleaning.R
# remove all but block borders | |
borders1 <- which(df$Mark == 1) | |
borders9 <- which(df$Mark == 9) | |
borders10 <- which(df$Mark == 10) | |
df[borders1,] <- 0 | |
df[borders9,] <- 0 | |
df[borders10,] <- 0 | |
# block borders |
View removing_triggers_loading.R
# install fnirsr | |
devtools::install_github("erzk/fnirsr") | |
library(dplyr) | |
library(fnirsr) | |
# file path | |
p01_path <- "/media/.../p01_fnirs_data_MES_Probe1.csv" # MES file | |
# load the header |
View hitachi2nirs_markings.m
% Reading vector of stimulus markers and arranging this into the format | |
% required by Homer2 and storing in the variable "aux" | |
markertimes = [find(vector_onset>0) find(vector_onset<0)]; | |
markers = vector_onset(markertimes); | |
unique_markers = unique(markers); | |
aux = zeros(count, length(unique_markers)); | |
for stimuli=1:length(unique_markers) | |
if offset == 'y' || offset == 'Y' % Version 3 | |
stim_on_off = find(vector_onset==(unique_markers(stimuli))); % Version 3 | |
stim_markers = stim_on_off(1:2:length(stim_on_off)-1); % Version 3 |
View hitachi2nirs.m
clear all | |
clc | |
%% Version 3 update: channels and wavelengths are re-ordered such that they | |
% are in the order Homer2 software expects. | |
% User choice to remove marker at end of stimulus as this is not needed in | |
% Homer. Thanks to Ian Wiggins for your assistance with Version 3 edits. | |
% Rebecca S Dewey 29th July 2014 | |
%% Revision update: stimulus markers are now read into the "aux" variable |
View geofacet_grid_Poland.R
# geofacet - Polska | |
# Ludność w miastach w % ogółu ludności (dane roczne) | |
library(dplyr) | |
library(geofacet) | |
library(ggplot2) | |
library(readxl) | |
# dane z Banku Danych Lokalnych | |
# https://bdl.stat.gov.pl/BDL/dane/podgrup/tablica |
View zooplaR_introduction.R
# install the package | |
devtools::install_github("erzk/zooplaR") | |
# load it | |
library(zooplaR) | |
# set up the keys | |
file.edit("~/.Renviron") | |
zoopla_key <- "YOUR_KEY_GOES_HERE" | |
zoopla_key <- Sys.getenv("zoopla_key") |
View matlab_jupyter_linux.ipynb
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