devtools::install_github("oobianom/quickcode")
install.packages("quickcode") # when published
%nin% Not in vector or array
add.header Addin snippet function to add header comment to a current opened file
add.sect.comment Addin snippet function to custom section comment
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
bionic_txt Generate a bionic text
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_rep Duplicate a data rows or columns X times
data_shuffle Shuffle a data frame just like shuffle in PHP
date1to3 Combine vectors to create Date, or split Date into vectors
date3to1 Combine vectors to create Date, or split Date into vectors
duplicate Duplicate a file with global text replacement
fAddDate Append date to filename
genRandImg Download random images from the web
geo.cv Calculate geometric coefficient of variation, mean, or SD and round
geo.mean Calculate geometric coefficient of variation, mean, or SD and round
geo.sd Calculate geometric coefficient of variation, mean, or SD and round
has.error Check if a call or expression produces errors
header.rmd Snippet function to add header to a current Rmd opened file
in.range If number falls within a range of values and get closest values
inc Increment vector by value
init Initialize new variables and objects
insertInText Shiny app function to insert string to current file in RStudio
is.gamma Check if a data fits a Normal or LogNormal or Uniform or Poisson or Gamma distribution
is.image Is file name extension(s) an image
is.logistic Check if a data fits a Normal or LogNormal or Uniform or Poisson or Gamma distribution
is.lognormal Check if a data fits a Normal or LogNormal or Uniform or Poisson or Gamma distribution
is.normal Check if a data fits a Normal or LogNormal or Uniform or Poisson or Gamma distribution
is.poisson Check if a data fits a Normal or LogNormal or Uniform or Poisson or Gamma distribution
is.uniform Check if a data fits a Normal or LogNormal or Uniform or Poisson or Gamma distribution
is.weibull Check if a data fits a Normal or LogNormal or Uniform or Poisson or Gamma distribution
libraryAll Load specific R libraries and clear environment
list_push Add elements to a list like array_push in PHP
list_shuffle Shuffle a list object just like shuffle in PHP
minus Decrease vector by value
mix.color Mix or Blend two or more colors
mix.cols.btw Mix or Blend colors between two or more colors
multiply Multiple a vector of numeric values
newSuperVar Create and use a super variable with unique capabilities
not.data Not a data
not.duplicated Not duplicated elements
not.empty Not empty
not.environment Not an environment
not.exists Not exists
not.image File name extension(s) is Not an image
not.integer Not an integer
not.logical Not logical
not.na Not NA
not.null Not NULL
not.numeric Not numeric
not.vector Not a vector
number Generate a random number (integer)
pairDist Calculate the distance of points from the center of a cluster
plus Increment vector by value
randString Generate a random string
rcolorconst R Color Constant
rDecomPkg Check whether an R package has been decommissioned in CRAN
read.csv.print Read a CSV and preview first X rows and columns
read.table.print Read in a table and show first X rows and columns
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
setOnce Set a variable only once
sim.logistic Generate logistic random values
strsplit.bool Split a string of values and return as boolean vector
strsplit.num Split a string of numbers and return as numeric vector
summarize.envobj Get all the environment objects and their sizes
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
#initialize one or more variables
print(g) # Error: object 'g' not found
init(g,h,i,o)
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")
add_key(ver1)
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
quickcode::refresh()
quickcode::clean()
#or combine with setwd and source and load
quickcode::clean(
setwd = "/wd/",
source = c(
"file.R",
"file2.R"
),
load = c(
"data.RData",
"data2.RData"
)
)
#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)
vector_push(p1,p2)
print(p1)
#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)
data_push(p1,p2,"rows")
print(p1)
#remove from a vector in one code
p1 <- c(6,7,8,1,2,3)
vector_pop(p1)
print(p1)
#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
print(p1)
data_pop(p1,5) #remove last 5 rows
print(p1)
#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
print(p1)
data_pop(p1,2,which = "cols") #remove last 2 columns
print(p1)
data_pop(p1,1,which = "cols") #remove last 1 column and vectorise
print(p1)
#load libraries
quickcode::libraryAll(
dplyr,
r2resize,
ggplot2
)
Check out some examples at quickcode.obi.obianom.com