NOT functions, genRandImg, vector_shuffle, data_pop, and init function amongst many great new functions in the quickcode R package

Obinna (OBI) Obianom


A compilation of NOT functions + some useful functions to simply R programming, keep the console neat, and save memory usage



install.packages("quickcode") # when published

List of many cool functions to use

%nin%   Not in vector or array
add.header  Snippet function to add header to a current opened file
add.snippet.clear   Snippet R function to clear console and set directory
add_key Add index keys to a vector or data frame or list or matrix
ai.duplicate    Prompt guided duplication if files
archivedPkg Listing of all CRAN archived R packages
as.boolean  Convert boolean values between formats
clean   Clear environment, clear console, set work directory and load files
compHist    Compare histograms of two distributions
data_pop    Remove last n rows or column or specified elements from a data frame like array_pop in PHP
data_pop_filter Remove elements from a data matching filter
data_push   Add data to another data like array_push in PHP
data_shuffle    Shuffle a data frame just like shuffle in PHP
duplicate   Duplicate a file with global text replace
genRandImg  Download random images from the web  Calculate geometric coefficient of variation and round
geo.mean    Calculate geometric mean and round  Calculate geometric standard deviation and round
header.rmd  Snippet function to add header to a current Rmd opened file
inc Increment vector by value
init    Initialize new variables and objects
insertInText    Shiny app function to insert string to current file in RStudio
is.image    Is file extension an image
libraryAll  Load specific R libraries and clear environment
list_push   Add elements to a list like array_push in PHP
minus   Decrease vector by value    Not a data
not.duplicated  Not duplicated elements
not.empty   Not empty
not.environment Not an environment
not.image   File name is Not an image
not.integer Not an integer
not.logical Not logical  Not NA
not.null    Not NULL
not.numeric Not numeric
not.vector  Not a vector
number  Generate a random number
plus    Increment vector by value
rcolorconst R Color Constant
refresh Clear environment, clear console, set work directory and load files
sample_by_column    Re-sample a dataset by column and return number of entry needed
vector_pop  Remove last n elements or specified elements from a vector like array_pop in PHP
vector_push Add elements to a vector like array_push in PHP
vector_shuffle  Shuffle a vector just like shuffle in PHP
yesNoBool   Convert Yes/No to Binary or Logical

Let me show you a few R Examples

#initialize one or more variables

print(g) # Error: object 'g' not found

print(g) # g = NULL
print(h) # h = NULL

init(r,y,u,b,value = 5)
print(r) # r = 5
print(b) # b = 5
print(z) # Error: object 'z' not found

#add keys to a vector content for use in downstream processes

ver1 <- c("Test 1","Test 2","Test 3")

for(i in ver1){
message(sprintf("%s is the key for this %s", i$key, i$value))

#check if the entry is not integer

not.integer(45) #returns TRUE
not.integer(45.) #returns TRUE
not.integer(45L) #returns FALSE

not.null(45L) #returns TRUE
not.null(h<-NULL) #returns FALSE

#clear R environment, set directory and load data
#note: the code below also automatically loads the quickcode library so that all other functions within package can be used easily


#or combine with setwd and source and load

  setwd = "/wd/",
  source = c(
  load = c(

#shorthand for not in vector

p1 <- 4
p2 <- c(1:10)

p1 %nin% p2

#add to a vector in one code

p1 <- c(6,7,8)
p2 <- c(1,2,3)



#add to a data frame in one code

p1 <- data.frame(ID=1:10,ID2=1:10)
p2 <- data.frame(ID=11:20,ID2=21:30)



#remove from a vector in one code

p1 <- c(6,7,8,1,2,3)



#remove from a data frame in one code

p1 <- data.frame(ID=1:10,ID2=1:10,CD=11:20,BD=21:30)

data_pop(p1) #remove last row


data_pop(p1,5) #remove last 5 rows


#remove columns from a data frame in one code

p1 <- data.frame(ID=1:10,ID2=1:10,ID4=1:10,CD=11:20,BD=21:30)

data_pop(p1,which = "cols") #remove last column


data_pop(p1,2,which = "cols") #remove last 2 columns


data_pop(p1,1,which = "cols") #remove last 1 column and vectorise


#load libraries


Check out some examples at