devtools::install_github("oobianom/quickcode")
install.packages("quickcode") # when published
%nin%
add.header
add.snippet.clear
add_key
clean
refresh
cv.gm
data_pop
data_pop_filter
data_push
data_shuffle
duplicate
ai.duplicate
g.mean
header.rmd
inc
plus
minus
init
insertInText
libraryAll
list_push
not.data
not.duplicated
not.empty
not.environment
not.integer
not.logical
not.null
not.numeric
not.vector
number
sample_by_column
sd.gm
vector_pop
vector_push
vector_shuffle
#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