Data Science Desktop Survival Guide by Graham Williams
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Index

( (base) : 11.55

+ (base) : 5.6 | 25.10

-$>$ (base) : 5.2

-$>$ (base) : 25.16

$<$- (base) : 5.2

$<$- (base) : 5.18

$<$- (base) : 11.17

$<$- (base) : 25.16

%$>$% (tidyr) : 5.7

%$>$% (tidyr) : 5.10

%$<$$>$% (magrittr) : 5.12

%$<$$>$% (magrittr) : 11.3

%$<$$>$% (magrittr) : 11.13

%$>$% (tidyr) : 12.36

%$>$% (tidyr) : 25.10

%s+% (stringi) : 7.3 | 11.47

%T$>$% (magrittr) : 5.14

file= : 8.2

col\_names= : 8.2

col\_types= : 8.3

skip= : 8.4

sheet= : 8.4

sheet= : 8.4

range= : 8.4

numerals= : 11.13

x= : 12.3

labels= : 12.3

x= : 12.3

y= : 12.3

width= : 12.6

colour= : 12.9

fill= : 12.9

= (base) : 25.16

? (utils) : 4.11

abs() (base) : 10.5

across() (dplyr) : 11.10 | 11.15

add a row to a dataset : 11.6

add_count() (dplyr) : 11.5

aes() (ggplot2) : 12.3 | 12.36

aes_string() (ggplot2) : 11.52

all_of() (tidyselect) : 14.4

any() (base) : 10.7

arrange() (dplyr) : 10.5

as.factor() (base) : 11.52

as_tibble() (dplyr) : 10.5

asRules() (rattle) : 20.27

assign() (base) : 5.15

assignment : 5.2

assignment pipe : see %<>% | see %<>%

attr() (base) : 14.10

base (package)

( : 11.55

+ : 5.6 | 25.10

-$>$ : 5.2

-$>$ : 25.16

$<$- : 5.2

$<$- : 5.18

$<$- : 11.17

$<$- : 25.16

= : 25.16

abs() : 10.5

any() : 10.7

as.factor() : 11.52

assign() : 5.15

attr() : 14.10

casefold() : 7.2

cat() : 7.3 | 7.4

class() : 11.30

data.frame() : 10.5

dim() : 5.12

factor() : 11.31 | 11.35 | 11.36

format() : 24.10

function() : 14.8

get() : 11.21 | 11.21

globalenv() : 5.15

grep() : 7.9 | 8.8

is.na() : 5.17 | 10.7 | 11.10 | 14.9

is.numeric() : 9.5 | 11.15

library() : 4.4 | 4.8 | 4.8 | 4.9 | 4.10 | 4.11 | 5.4 | 5.4 | 5.4

load() : 11.55 | 11.55 | 11.55 | 11.55 | 11.55

mean() : 24.9

names() : 11.14 | 11.24 | 11.53

nchar() : 7.7

nrow() : 10.7

paste() : 7.3 | 7.4 | 24.17

print() : 5.4 | 5.14 | 5.14 | 5.18 | 14.4 | 14.4

print.data.frame() : 5.1

readLines() : 8.8

return() : 25.12

rev() : 9.9 | 12.18

round() : 14.8

sapply() : 11.36 | 11.42 | 11.53

save() : 11.55

search() : 4.8 | 4.9

set.seed() : 9.11 | 10.3 | 24.11

sort() : 12.18

substr() : 7.12

substring() : 7.12

sum() : 5.5

summary() : 5.8 | 5.8 | 5.9 | 5.9 | 5.14 | 11.37

Sys.time() : 24.17

system.file() : 11.17

table() : 11.34 | 11.36 | 11.36

tolower() : 7.2

toupper() : 7.2

unique() : 11.9 | 11.32 | 12.18

which() : 9.5

with() : 5.13

bind list to a dataset : 11.6

bind rows : 11.6

bind_rows() (dplyr) : 11.6 | 11.6

blue2green2red() (colorRamps) : 12.12

brewer.pal() (RColorBrewer) : 12.12

case : 5.3

case_when() (dplyr) : 5.3

casefold() (base) : 7.2

cat() (base) : 7.3 | 7.4

categoric : see factor

cfs() (FSelector) : 11.47 | 11.47

class() (base) : 11.30

classification

neural networks : 18.13

clean_names() (janitor) : 11.8 | 11.13

clipboard() (readr) : 8.2

cm.colors() (grDevices) : 12.12

colorRamps (package)

blue2green2red() : 12.12

colors.plot() (epitools) : 12.11

colours() (grDevices) : 12.11

combine rows : 11.6

comma() (scales) : 7.5 | 10.7 | 12.20 | 12.22

contains() (tidyselect) : 11.34

cor() (stats) : 5.13 | 10.5

count() (dplyr) : 10.2

csv (file type) : 8.3 | 8.3

CSV file : 11.17 | 11.17

data frame : 5.1

data.frame() (base) : 10.5

data.table (package)

na.omit() : 10.5 | 11.50

dataset : 5.1

dev.off() (grDevices) : 12.35

dim() (base) : 5.12

dollar() (scales) : 12.23

dplyr (package)

across() : 11.10 | 11.15

add_count() : 11.5

arrange() : 10.5

as_tibble() : 10.5

bind_rows() : 11.6 | 11.6

case_when() : 5.3

count() : 10.2

filter() : 10.7 | 10.7 | 11.10 | 11.10

glimpse() : 4.7 | 4.7 | 9.2 | 9.13 | 11.20 | 11.27 | 14.3

mutate() : 10.5 | 10.5 | 11.3 | 11.3 | 11.8 | 12.18 | 12.18

pull() : 11.9

rename() : 11.14 | 11.14

rename_with() : 11.13

sample_frac() : 10.3 | 10.8 | 11.3 | 12.24

sample_n() : 5.1 | 11.29 | 12.38

select() : 5.1 | 5.7 | 5.7 | 5.8 | 5.10 | 5.12 | 5.14 | 10.5 | 10.6 | 11.3 | 11.34 | 11.36 | 14.4

slice() : 11.16 | 14.4

tibble() : 24.11

egyptian brackets : 25.7

element_blank() (ggplot2) : 12.24

element_text() (ggplot2) : 12.13

epitools (package)

colors.plot() : 12.11

everything() (tidyselect) : 11.10

excel_format() (readxl) : 8.4

excel_sheets() (readxl) : 8.4

exposition pipe

see(pipe) : 5.13

extract2() (magrittr) : 14.10

factor() (base) : 11.31 | 11.35 | 11.36

fancyRpartPlot() (rattle) : 20.32

file types

csv : 8.3 | 8.3

filter() (dplyr) : 10.7 | 10.7 | 11.10 | 11.10

filter() (stats) : 5.8 | 5.12 | 5.17 | 5.17

format() (base) : 24.10

formula() (stats) : 9.4 | 9.9

forward assignment : 5.2

FSelector (package)

cfs() : 11.47 | 11.47

information.gain() : 11.47 | 11.47

function : 5.5

function() (base) : 14.8

gather() (tidyr) : 10.5

generic variable : 11.21 | 11.21 | 11.21 | 11.21

geom_bar() (ggplot2) : 11.52 | 12.3 | 12.3 | 12.4 | 12.7

geom_col() (ggplot2) : 12.7 | 12.8

geom_density() (ggplot2) : 5.17 | 12.27

geom_line() (ggplot2) : 12.14 | 12.26

geom_point() (ggplot2) : 12.13 | 12.14 | 12.36 | 12.38 | 12.39

geom_smooth() (ggplot2) : 12.39 | 12.40

get() (base) : 11.21 | 11.21

ggplot() (ggplot2) : 5.17 | 11.52 | 12.3 | 12.7 | 12.7 | 12.18 | 12.38 | 24.19 | 25.11

ggplot2 (package)

aes() : 12.3 | 12.36

aes_string() : 11.52

element_blank() : 12.24

element_text() : 12.13

geom_bar() : 11.52 | 12.3 | 12.3 | 12.4 | 12.7

geom_col() : 12.7 | 12.8

geom_density() : 5.17 | 12.27

geom_line() : 12.14 | 12.26

geom_point() : 12.13 | 12.14 | 12.36 | 12.38 | 12.39

geom_smooth() : 12.39 | 12.40

ggplot() : 5.17 | 11.52 | 12.3 | 12.7 | 12.7 | 12.18 | 12.38 | 24.19 | 25.11

ggsave() : 12.35

labeller() : 12.15

labs() : 5.17 | 12.3 | 12.21 | 12.38

qplot() : 4.4 | 4.6 | 4.6

scale_colour_brewer() : 12.38

scale_x_reverse() : 12.18

scale_y_continuous() : 12.3

scale_y_reverse() : 12.18

theme() : 12.4 | 12.24 | 12.25

xlab() : 12.21

ylab() : 12.21

ggsave() (ggplot2) : 12.35

glimpse() (dplyr) : 4.7 | 4.7 | 9.2 | 9.13 | 11.20 | 11.27 | 14.3

glimpse() (tibble) : 4.9

globalenv() (base) : 5.15

glue (package)

glue() : 7.3 | 7.5

glue_data() : 7.6

glue() (glue) : 7.3 | 7.5

glue_data() (glue) : 7.6

graphics (package)

image() : 12.12

gray() (grDevices) : 12.12

grDevices (package)

cm.colors() : 12.12

colours() : 12.11

dev.off() : 12.35

gray() : 12.12

palette() : 12.12

pdf() : 12.35 | 24.20

rainbow() : 12.12

grep() (base) : 7.9 | 8.8

head() (utils) : 8.8 | 11.28 | 24.9

heuristic search : 9.11

Hmisc (package)

latexTranslate() : 24.10

IDE : 4.1

identity : 5.10

image() (graphics) : 12.12

information.gain() (FSelector) : 11.47 | 11.47

install.packages() (utils) : 4.4 | 4.6 | 4.10 | 7.1 | 8.1 | 9.1 | 10.1 | 11.1 | 12.1 | 14.1 | 15.1 | 18.1 | 20.1 | 21.1 | 22.1 | 23.1 | 24.1

ipred (package)

print() : 25.11

is.na() (base) : 5.17 | 10.7 | 11.10 | 14.9

is.numeric() (base) : 9.5 | 11.15

janitor (package)

clean_names() : 11.8 | 11.13

JPG : 12

kable() (knitr) : 24.11 | 24.13 | 24.14 | 24.14 | 24.15

knitr (package)

kable() : 24.11 | 24.13 | 24.14 | 24.14 | 24.15

labeller() (ggplot2) : 12.15

labs() (ggplot2) : 5.17 | 12.3 | 12.21 | 12.38

latexTranslate() (Hmisc) : 24.10

library() (base) : 4.4 | 4.8 | 4.8 | 4.9 | 4.10 | 4.11 | 5.4 | 5.4 | 5.4

load() (base) : 11.55 | 11.55 | 11.55 | 11.55 | 11.55

lobstr (package)

ref() : 11.22

lubridate (package)

union() : 11.42

magrittr (package)

%$<$$>$% : 5.12

%$<$$>$% : 11.3

%$<$$>$% : 11.13

%T$>$% : 5.14

extract2() : 14.10

not() : 5.17

set_colnames() : 10.5

map() (purrr) : 9.5

mean() (base) : 24.9

memory usage : 11.21

missing value

imputation : 11.11

replace : 11.15

modeltools (package)

subset() : 24.19

mutate() (dplyr) : 10.5 | 10.5 | 11.3 | 11.3 | 11.8 | 12.18 | 12.18

mutate() (plyr) : 25.15

na

replace : 11.15

na.omit() (data.table) : 10.5 | 11.50

na.roughfix() (randomForest) : 9.10 | 11.11 | 11.38 | 11.49 | 12.1

names() (base) : 11.14 | 11.24 | 11.53

nchar() (base) : 7.7

neural networks : 18.13

normVarNames() (rattle) : 9.3 | 11.13 | 11.13

not() (magrittr) : 5.17

nrow() (base) : 10.7

palette() (grDevices) : 12.12

parse_number() (readr) : 11.8 | 11.8 | 11.8

paste() (base) : 7.3 | 7.4 | 24.17

PDF : 12

pdf() (grDevices) : 12.35 | 24.20

performance() (ROCR) : 14.10 | 14.10

pipe

exposition : 5.13

tee : 5.14 | 5.15

plyr (package)

mutate() : 25.15

pmap_lgl() (purrr) : 10.7

PNG : 12

PostScript : 12

predict() (stats) : 14.5 | 14.5 | 14.6 | 14.10

prediction() (ROCR) : 14.10 | 14.10

print() (base) : 5.4 | 5.14 | 5.14 | 5.18 | 14.4 | 14.4

print() (ipred) : 25.11

print.data.frame() (base) : 5.1

print.xtable() (xtable) : 24.14 | 24.14

prp() (rpart.plot) : 20.32 | 20.32

pull() (dplyr) : 11.9

purrr (package)

map() : 9.5

pmap_lgl() : 10.7

qplot() (ggplot2) : 4.4 | 4.6 | 4.6

R script file : 4.10

r_data_frame() (wakefield) : 8.7

rainbow() (grDevices) : 12.12

randomForest (package)

na.roughfix() : 9.10 | 11.11 | 11.38 | 11.49 | 12.1

randomForest() : 11.49 | 14.12

randomForest() (randomForest) : 11.49 | 14.12

rattle (package)

asRules() : 20.27

fancyRpartPlot() : 20.32

normVarNames() : 9.3 | 11.13 | 11.13

riskchart() : 14.11

weather : 11.18 | 11.18

weatherAUS : 4.4 | 4.4 | 4.7 | 5 | 5.7 | 5.8 | 5.17 | 7.1 | 7.5 | 8.1 | 8.5 | 9.1 | 10.1 | 11.1 | 11.17 | 12.1 | 12.37 | 14.1 | 14.2 | 15.1 | 18.2 | 18.2 | 19.1 | 20.1 | 20.2 | 21.1 | 22.1 | 23.1 | 24.1

RColorBrewer (package)

brewer.pal() : 12.12

read.csv() (utils) : 11.55

read.table() (utils) : 8.2

read_csv() (readr) : 8.2 | 8.3 | 11.8 | 11.18 | 11.18 | 11.18 | 11.18

read_excel() (readxl) : 8.4

read_tsv() (readr) : 8.9

readLines() (base) : 8.8

readr (package)

clipboard() : 8.2

parse_number() : 11.8 | 11.8 | 11.8

read_csv() : 8.2 | 8.3 | 11.8 | 11.18 | 11.18 | 11.18 | 11.18

read_tsv() : 8.9

write_csv() : 8.3 | 8.9

readxl (package)

excel_format() : 8.4

excel_sheets() : 8.4

read_excel() : 8.4

ref() (lobstr) : 11.22

regression

neural networks : 18.13

rename() (dplyr) : 11.14 | 11.14

rename_with() (dplyr) : 11.13

replace_na() (tidyr) : 11.15

return() (base) : 25.12

rev() (base) : 9.9 | 12.18

risk variable : 11.40

riskchart() (rattle) : 14.11

ROCR (package)

performance() : 14.10 | 14.10

prediction() : 14.10 | 14.10

round() (base) : 14.8

rpart (package)

rpart() : 11.49 | 14.4 | 14.4 | 18.6 | 20.17 | 20.17

rpart() (rpart) : 11.49 | 14.4 | 14.4 | 18.6 | 20.17 | 20.17

rpart.plot (package)

prp() : 20.32 | 20.32

rpart.rules() : 20.28

rpart.rules() (rpart.plot) : 20.28

RStudio : 4.1

runif() (stats) : 24.9

sample_frac() (dplyr) : 10.3 | 10.8 | 11.3 | 12.24

sample_n() (dplyr) : 5.1 | 11.29 | 12.38

sapply() (base) : 11.36 | 11.42 | 11.53

save() (base) : 11.55

scale_colour_brewer() (ggplot2) : 12.38

scale_x_reverse() (ggplot2) : 12.18

scale_y_continuous() (ggplot2) : 12.3

scale_y_reverse() (ggplot2) : 12.18

scales (package)

comma() : 7.5 | 10.7 | 12.20 | 12.22

dollar() : 12.23

search() (base) : 4.8 | 4.9

select rows : 10.7

select rows with missing values : 10.7

select() (dplyr) : 5.1 | 5.7 | 5.7 | 5.8 | 5.10 | 5.12 | 5.14 | 10.5 | 10.6 | 11.3 | 11.34 | 11.36 | 14.4

set.seed() (base) : 9.11 | 10.3 | 24.11

set_colnames() (magrittr) : 10.5

slice() (dplyr) : 11.16 | 14.4

sort() (base) : 12.18

stats (package)

cor() : 5.13 | 10.5

filter() : 5.8 | 5.12 | 5.17 | 5.17

formula() : 9.4 | 9.9

predict() : 14.5 | 14.5 | 14.6 | 14.10

runif() : 24.9

str_c() (stringr) : 7.3

str_length() (stringr) : 7.7

str_pad() (stringr) : 7.14

str_replace() (stringr) : 11.26 | 11.26 | 24.12

str_replace_all() (stringr) : 12.15

str_sub() (stringr) : 7.12 | 7.13

str_trim() (stringr) : 7.14

str_wrap() (stringr) : 7.15

stri_rand_lipsum() (stringi) : 7.8

stringi (package)

%s+% : 7.3 | 11.47

stri_rand_lipsum() : 7.8

stringr (package)

str_c() : 7.3

str_length() : 7.7

str_pad() : 7.14

str_replace() : 11.26 | 11.26 | 24.12

str_replace_all() : 12.15

str_sub() : 7.12 | 7.13

str_trim() : 7.14

str_wrap() : 7.15

word() : 7.15

subset() (modeltools) : 24.19

substr() (base) : 7.12

substring() (base) : 7.12

sum() (base) : 5.5

summary() (base) : 5.8 | 5.8 | 5.9 | 5.9 | 5.14 | 11.37

switch : 5.3

Sys.time() (base) : 24.17

system.file() (base) : 11.17

table() (base) : 11.34 | 11.36 | 11.36

tail() (utils) : 11.28

target variable : 11.39

tee pipe

see(pipe) : 5.14

template : 11.21 | 11.21

template variable : 11.21

theme() (ggplot2) : 12.4 | 12.24 | 12.25

tibble (package)

glimpse() : 4.9

tibble() (dplyr) : 24.11

tidyr (package)

%$>$% : 5.7

%$>$% : 5.10

%$>$% : 12.36

%$>$% : 25.10

gather() : 10.5

replace_na() : 11.15

tidyselect (package)

all_of() : 14.4

contains() : 11.34

everything() : 11.10

where() : 11.15

tolower() (base) : 7.2

toupper() (base) : 7.2

training dataset : 11.39

union() (lubridate) : 11.42

unique() (base) : 11.9 | 11.32 | 12.18

utils (package)

? : 4.11

head() : 8.8 | 11.28 | 24.9

install.packages() : 4.4 | 4.6 | 4.10 | 7.1 | 8.1 | 9.1 | 10.1 | 11.1 | 12.1 | 14.1 | 15.1 | 18.1 | 20.1 | 21.1 | 22.1 | 23.1 | 24.1

read.csv() : 11.55

read.table() : 8.2

tail() : 11.28

wakefield (package)

r_data_frame() : 8.7

weather (rattle) : 11.18 | 11.18

weatherAUS (rattle) : 4.4 | 4.4 | 4.7 | 5 | 5.7 | 5.8 | 5.17 | 7.1 | 7.5 | 8.1 | 8.5 | 9.1 | 10.1 | 11.1 | 11.17 | 12.1 | 12.37 | 14.1 | 14.2 | 15.1 | 18.2 | 18.2 | 19.1 | 20.1 | 20.2 | 21.1 | 22.1 | 23.1 | 24.1

where() (tidyselect) : 11.15

which() (base) : 9.5

with() (base) : 5.13

word() (stringr) : 7.15

write_csv() (readr) : 8.3 | 8.9

write_xlsx() (writexl) : 8.5

writexl (package)

write_xlsx() : 8.5

xlab() (ggplot2) : 12.21

xtable (package)

print.xtable() : 24.14 | 24.14

xtable() : 24.14 | 24.16

xtable() (xtable) : 24.14 | 24.16

ylab() (ggplot2) : 12.21