Nothing
# Emi Tanaka (@statsgen) and Garrick Aden-Buie (@grrrck) and Evangeline Reynolds (@EvaMaeRey)
# have contributed to this code
# how to solve "no visible binding for global variable" note
utils::globalVariables(
c('func', '.', 'raw_code', 'non_seq', 'func', '.','raw_code', '.',
'replacements','line','code','highlight','connector','line','func',
'.','raw_code','open_par','closed_par', 'auto','connector','line1',
'text','open_square','line','token','open_par','closed_par','open_curly',
'closed_curly','closed_square','full_line','num_open_par','num_closed_par',
'num_open_curly','num_closed_curly','num_open_square','num_closed_square',
'balanced_paren','balanced_curly','balanced_square','all_parenteses_balanced',
'raw_code', 'connector','all_parentheses_balanced', 'line', 'auto', 'user',
'non_seq', 'rotate','raw_code', '.')
)
####### Make some test code available as character strings #####
create_code <- function(){ # for testing w/o knitting
"cars %>% # the data #BREAK
filter(speed > 4) %>% # subset
ggplot() + # pipe to ggplot
aes(x = speed) +
aes(y = dist) +
# Describing what follows
geom_point(alpha = .3) + #BREAK
geom_point(alpha = 1) + #BREAK2
geom_jitter(alpha = .5) + #BREAK3
aes(color =
speed > 14
) %+%
cars ->
my_plot #BREAK
NULL #OMIT
1 + 1 #BREAK"
}
create_code_remove <- function(){
"ggplot(data = cars) +
aes(x = speed) +
aes(y = dist) + #BREAK-2
geom_rug()"
}
create_code_rotate_omit <- function(){
'ggplot(data = cars) +
aes(x = speed) +
aes(y = dist) +
geom_point(size = 8,
shape = 21,
alpha = .9,
color = "snow") +
aes(fill = speed) +
scale_fill_viridis_c(option = "magma") + #OMIT
scale_fill_viridis_c(option = "magma") + #ROTATE
scale_fill_viridis_c(option = "cividis") + #ROTATE
scale_fill_viridis_c(option = "plasma") + #ROTATE
NULL'
}
create_injectable_code <- function(){
"for (i in 1:10){
print(i)
} "
}
create_rotate_code <- function(){ # for testing w/o knitting
"cars %>% # the data #BREAK
filter(speed > 4) %>% # subset
ggplot() + # pipe to ggplot
aes(x = speed) +
aes(y = dist) +
# Describing what follows
geom_point(alpha = .3) + #ROTATE
geom_point(color = 'blue') + #ROTATE
geom_point(shape = 'square') -> #ROTATE
my_plot #BREAK
1 + 1 #BREAK"
}
create_short_code <- function(){ # for testing w/o knitting
"cars %>% # the data
filter(speed > 4) %>% # subset #BREAK
ggplot() #BREAK"
}
create_ggplot_code <- function(){ # for testing w/o knitting
"ggplot2::ggplot(cars) + # initiate ggplot
ggplot2::aes(x = speed) +
ggplot2::aes(y = dist) +
# Describing what follows
ggplot2::geom_point(alpha = .3) "
}
create_python_code <- function(){
"xobject = load_iris()
xobject = pd.DataFrame(xobject.data,
columns=xobject.feature_names)
def evenOdd( x ):
if (x % 2 == 0):
print \"even\"
else:
print \"odd\"
# Driver code
evenOdd(2)
xobject.pipe(remove_units).pipe(length_times_width)"
}
create_sql_code <- function(){
"SELECT *
FROM tbl_hello_world
WHERE "
}
create_python_code_pipeline <- function(){
"student_scores \\\n .melt(id_vars=['student', \"sex\"], \n var_name=\"subject\", \n value_name=\"final_grade\") \\\n .sort_values(by=['final_grade'], ascending=False) \\\n .head(3)"
}
create_data_table_code <- function(){ # for testing w/o knitting
'gapminder::gapminder %>%
data.table() %>%
.[year > 1980] %>%
.[ ,
mean(gdpPercap) ,
by = .(continent, year) ]'
}
create_left_assign_code <- function(){
# for testing w/o knitting
"my_cars <- cars %>% # the data #BREAK
filter(speed > 4) %>% # subset
ggplot() + # pipe to ggplot
aes(x = speed) +
aes(y = dist) +
# Describing what follows
geom_point(alpha = .3)"
}
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