README.md
In jmurthy12/foofactors: Make Factors Less Annoying
All implementation and documentation is an extension of Jennifer Bryan's foofactors package.
NOTE: This is a toy package created for expository purposes. It is not meant to actually be useful. If you want a package for factor handling, please see forcats.
foofactors
Factors are a very useful type of variable in R, but they can also drive you nuts. This package provides some helper functions for the care and feeding of factors.
Installation
devtools::install_github("jmurthy12/foofactors")
Quick demo
Binding two factors via fbind():
library(foofactors)
a <- factor(c("character", "hits", "your", "eyeballs"))
b <- factor(c("but", "integer", "where it", "counts"))
Simply catenating two factors leads to a result that most don't expect.
c(a, b)
#> [1] 1 3 4 2 1 3 4 2
The fbind() function glues two factors together and returns factor.
fbind(a, b)
#> [1] character hits your eyeballs but integer where it
#> [8] counts
#> Levels: but character counts eyeballs hits integer where it your
Often we want a table of frequencies for the levels of a factor. The base table() function returns an object of class table, which can be inconvenient for downstream work. Processing with as.data.frame() can be helpful but it's a bit clunky.
set.seed(1234)
x <- factor(sample(letters[1:5], size = 100, replace = TRUE))
table(x)
#> x
#> a b c d e
#> 25 26 17 17 15
as.data.frame(table(x))
#> x Freq
#> 1 a 25
#> 2 b 26
#> 3 c 17
#> 4 d 17
#> 5 e 15
1) Function : freq_out()
The freq_out() function returns a frequency table as a well-named tbl_df:
freq_out(x)
#> # A tibble: 5 x 2
#> x n
#> <fctr> <int>
#> 1 a 25
#> 2 b 26
#> 3 c 17
#> 4 d 17
#> 5 e 15
Unit Test
Link for unit test is avalable here
2) Function : fbind()
Let's try fbind() on data sets "cars" and "mtcars"
str(mtcars)
#> 'data.frame': 32 obs. of 11 variables:
#> $ mpg : num 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
#> $ cyl : num 6 6 4 6 8 6 8 4 4 6 ...
#> $ disp: num 160 160 108 258 360 ...
#> $ hp : num 110 110 93 110 175 105 245 62 95 123 ...
#> $ drat: num 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
#> $ wt : num 2.62 2.88 2.32 3.21 3.44 ...
#> $ qsec: num 16.5 17 18.6 19.4 17 ...
#> $ vs : num 0 0 1 1 0 1 0 1 1 1 ...
#> $ am : num 1 1 1 0 0 0 0 0 0 0 ...
#> $ gear: num 4 4 4 3 3 3 3 4 4 4 ...
#> $ carb: num 4 4 1 1 2 1 4 2 2 4 ...
str(cars)
#> 'data.frame': 50 obs. of 2 variables:
#> $ speed: num 4 4 7 7 8 9 10 10 10 11 ...
#> $ dist : num 2 10 4 22 16 10 18 26 34 17 ...
fbind(mtcars$cyl[c(2, 3, 5)], cars$speed[c(1, 2, 3)])
#> [1] 6 4 8 4 4 7
#> Levels: 4 6 7 8
Let's work on Iris data set as suggested in class
str(iris)
#> 'data.frame': 150 obs. of 5 variables:
#> $ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
#> $ Sepal.Width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
#> $ Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
#> $ Petal.Width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
#> $ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
Unit Test
Link for unit test is avalable here
I've made changes to Jenny Bryan's document starting from the below section.
3) Function : check_factor_character()
check_factor_character() determines if factors are required
Returns :
TRUE : If factors are not required FALSE : If factors are required (i.e.., factors are not characters)
check_factor_character(iris$Species)
#> [1] FALSE
#> [1] FALSE
Unit Test
Link for unit test is avalable here
4) Function : reorder_descending()
reorder_descending() reorders the factor levels in descending order,this is used especially in plots as already discussed in fct_reorder() section of Homework 5
levels(iris$Species)
#> [1] "setosa" "versicolor" "virginica"
levels(reorder_descending(iris$Species))
#> [1] "virginica" "versicolor" "setosa"
Unit Test
Link for unit test is avalable here
5) Function : factor_as_orginal()
factor_as_orginal() re-orders the factor levels same as input data
library(gapminder)
factor_as_orginal(gapminder$continent)
#> [1] Asia Asia Asia Asia Asia Asia Asia
#> [8] Asia Asia Asia Asia Asia Europe Europe
#> [15] Europe Europe Europe Europe Europe Europe Europe
#> [22] Europe Europe Europe Africa Africa Africa Africa
#> [29] Africa Africa Africa Africa Africa Africa Africa
#> [36] Africa Africa Africa Africa Africa Africa Africa
#> [43] Africa Africa Africa Africa Africa Africa Americas
#> [50] Americas Americas Americas Americas Americas Americas Americas
#> [57] Americas Americas Americas Americas Oceania Oceania Oceania
#> [64] Oceania Oceania Oceania Oceania Oceania Oceania Oceania
#> [71] Oceania Oceania Europe Europe Europe Europe Europe
#> [78] Europe Europe Europe Europe Europe Europe Europe
#> [85] Asia Asia Asia Asia Asia Asia Asia
#> [92] Asia Asia Asia Asia Asia Asia Asia
#> [99] Asia Asia Asia Asia Asia Asia Asia
#> [106] Asia Asia Asia Europe Europe Europe Europe
#> [113] Europe Europe Europe Europe Europe Europe Europe
#> [120] Europe Africa Africa Africa Africa Africa Africa
#> [127] Africa Africa Africa Africa Africa Africa Americas
#> [134] Americas Americas Americas Americas Americas Americas Americas
#> [141] Americas Americas Americas Americas Europe Europe Europe
#> [148] Europe Europe Europe Europe Europe Europe Europe
#> [155] Europe Europe Africa Africa Africa Africa Africa
#> [162] Africa Africa Africa Africa Africa Africa Africa
#> [169] Americas Americas Americas Americas Americas Americas Americas
#> [176] Americas Americas Americas Americas Americas Europe Europe
#> [183] Europe Europe Europe Europe Europe Europe Europe
#> [190] Europe Europe Europe Africa Africa Africa Africa
#> [197] Africa Africa Africa Africa Africa Africa Africa
#> [204] Africa Africa Africa Africa Africa Africa Africa
#> [211] Africa Africa Africa Africa Africa Africa Asia
#> [218] Asia Asia Asia Asia Asia Asia Asia
#> [225] Asia Asia Asia Asia Africa Africa Africa
#> [232] Africa Africa Africa Africa Africa Africa Africa
#> [239] Africa Africa Americas Americas Americas Americas Americas
#> [246] Americas Americas Americas Americas Americas Americas Americas
#> [253] Africa Africa Africa Africa Africa Africa Africa
#> [260] Africa Africa Africa Africa Africa Africa Africa
#> [267] Africa Africa Africa Africa Africa Africa Africa
#> [274] Africa Africa Africa Americas Americas Americas Americas
#> [281] Americas Americas Americas Americas Americas Americas Americas
#> [288] Americas Asia Asia Asia Asia Asia Asia
#> [295] Asia Asia Asia Asia Asia Asia Americas
#> [302] Americas Americas Americas Americas Americas Americas Americas
#> [309] Americas Americas Americas Americas Africa Africa Africa
#> [316] Africa Africa Africa Africa Africa Africa Africa
#> [323] Africa Africa Africa Africa Africa Africa Africa
#> [330] Africa Africa Africa Africa Africa Africa Africa
#> [337] Africa Africa Africa Africa Africa Africa Africa
#> [344] Africa Africa Africa Africa Africa Americas Americas
#> [351] Americas Americas Americas Americas Americas Americas Americas
#> [358] Americas Americas Americas Africa Africa Africa Africa
#> [365] Africa Africa Africa Africa Africa Africa Africa
#> [372] Africa Europe Europe Europe Europe Europe Europe
#> [379] Europe Europe Europe Europe Europe Europe Americas
#> [386] Americas Americas Americas Americas Americas Americas Americas
#> [393] Americas Americas Americas Americas Europe Europe Europe
#> [400] Europe Europe Europe Europe Europe Europe Europe
#> [407] Europe Europe Europe Europe Europe Europe Europe
#> [414] Europe Europe Europe Europe Europe Europe Europe
#> [421] Africa Africa Africa Africa Africa Africa Africa
#> [428] Africa Africa Africa Africa Africa Americas Americas
#> [435] Americas Americas Americas Americas Americas Americas Americas
#> [442] Americas Americas Americas Americas Americas Americas Americas
#> [449] Americas Americas Americas Americas Americas Americas Americas
#> [456] Americas Africa Africa Africa Africa Africa Africa
#> [463] Africa Africa Africa Africa Africa Africa Americas
#> [470] Americas Americas Americas Americas Americas Americas Americas
#> [477] Americas Americas Americas Americas Africa Africa Africa
#> [484] Africa Africa Africa Africa Africa Africa Africa
#> [491] Africa Africa Africa Africa Africa Africa Africa
#> [498] Africa Africa Africa Africa Africa Africa Africa
#> [505] Africa Africa Africa Africa Africa Africa Africa
#> [512] Africa Africa Africa Africa Africa Europe Europe
#> [519] Europe Europe Europe Europe Europe Europe Europe
#> [526] Europe Europe Europe Europe Europe Europe Europe
#> [533] Europe Europe Europe Europe Europe Europe Europe
#> [540] Europe Africa Africa Africa Africa Africa Africa
#> [547] Africa Africa Africa Africa Africa Africa Africa
#> [554] Africa Africa Africa Africa Africa Africa Africa
#> [561] Africa Africa Africa Africa Europe Europe Europe
#> [568] Europe Europe Europe Europe Europe Europe Europe
#> [575] Europe Europe Africa Africa Africa Africa Africa
#> [582] Africa Africa Africa Africa Africa Africa Africa
#> [589] Europe Europe Europe Europe Europe Europe Europe
#> [596] Europe Europe Europe Europe Europe Americas Americas
#> [603] Americas Americas Americas Americas Americas Americas Americas
#> [610] Americas Americas Americas Africa Africa Africa Africa
#> [617] Africa Africa Africa Africa Africa Africa Africa
#> [624] Africa Africa Africa Africa Africa Africa Africa
#> [631] Africa Africa Africa Africa Africa Africa Americas
#> [638] Americas Americas Americas Americas Americas Americas Americas
#> [645] Americas Americas Americas Americas Americas Americas Americas
#> [652] Americas Americas Americas Americas Americas Americas Americas
#> [659] Americas Americas Asia Asia Asia Asia Asia
#> [666] Asia Asia Asia Asia Asia Asia Asia
#> [673] Europe Europe Europe Europe Europe Europe Europe
#> [680] Europe Europe Europe Europe Europe Europe Europe
#> [687] Europe Europe Europe Europe Europe Europe Europe
#> [694] Europe Europe Europe Asia Asia Asia Asia
#> [701] Asia Asia Asia Asia Asia Asia Asia
#> [708] Asia Asia Asia Asia Asia Asia Asia
#> [715] Asia Asia Asia Asia Asia Asia Asia
#> [722] Asia Asia Asia Asia Asia Asia Asia
#> [729] Asia Asia Asia Asia Asia Asia Asia
#> [736] Asia Asia Asia Asia Asia Asia Asia
#> [743] Asia Asia Europe Europe Europe Europe Europe
#> [750] Europe Europe Europe Europe Europe Europe Europe
#> [757] Asia Asia Asia Asia Asia Asia Asia
#> [764] Asia Asia Asia Asia Asia Europe Europe
#> [771] Europe Europe Europe Europe Europe Europe Europe
#> [778] Europe Europe Europe Americas Americas Americas Americas
#> [785] Americas Americas Americas Americas Americas Americas Americas
#> [792] Americas Asia Asia Asia Asia Asia Asia
#> [799] Asia Asia Asia Asia Asia Asia Asia
#> [806] Asia Asia Asia Asia Asia Asia Asia
#> [813] Asia Asia Asia Asia Africa Africa Africa
#> [820] Africa Africa Africa Africa Africa Africa Africa
#> [827] Africa Africa Asia Asia Asia Asia Asia
#> [834] Asia Asia Asia Asia Asia Asia Asia
#> [841] Asia Asia Asia Asia Asia Asia Asia
#> [848] Asia Asia Asia Asia Asia Asia Asia
#> [855] Asia Asia Asia Asia Asia Asia Asia
#> [862] Asia Asia Asia Asia Asia Asia Asia
#> [869] Asia Asia Asia Asia Asia Asia Asia
#> [876] Asia Africa Africa Africa Africa Africa Africa
#> [883] Africa Africa Africa Africa Africa Africa Africa
#> [890] Africa Africa Africa Africa Africa Africa Africa
#> [897] Africa Africa Africa Africa Africa Africa Africa
#> [904] Africa Africa Africa Africa Africa Africa Africa
#> [911] Africa Africa Africa Africa Africa Africa Africa
#> [918] Africa Africa Africa Africa Africa Africa Africa
#> [925] Africa Africa Africa Africa Africa Africa Africa
#> [932] Africa Africa Africa Africa Africa Asia Asia
#> [939] Asia Asia Asia Asia Asia Asia Asia
#> [946] Asia Asia Asia Africa Africa Africa Africa
#> [953] Africa Africa Africa Africa Africa Africa Africa
#> [960] Africa Africa Africa Africa Africa Africa Africa
#> [967] Africa Africa Africa Africa Africa Africa Africa
#> [974] Africa Africa Africa Africa Africa Africa Africa
#> [981] Africa Africa Africa Africa Americas Americas Americas
#> [988] Americas Americas Americas Americas Americas Americas Americas
#> [995] Americas Americas Asia Asia Asia Asia Asia
#> [1002] Asia Asia Asia Asia Asia Asia Asia
#> [1009] Europe Europe Europe Europe Europe Europe Europe
#> [1016] Europe Europe Europe Europe Europe Africa Africa
#> [1023] Africa Africa Africa Africa Africa Africa Africa
#> [1030] Africa Africa Africa Africa Africa Africa Africa
#> [1037] Africa Africa Africa Africa Africa Africa Africa
#> [1044] Africa Asia Asia Asia Asia Asia Asia
#> [1051] Asia Asia Asia Asia Asia Asia Africa
#> [1058] Africa Africa Africa Africa Africa Africa Africa
#> [1065] Africa Africa Africa Africa Asia Asia Asia
#> [1072] Asia Asia Asia Asia Asia Asia Asia
#> [1079] Asia Asia Europe Europe Europe Europe Europe
#> [1086] Europe Europe Europe Europe Europe Europe Europe
#> [1093] Oceania Oceania Oceania Oceania Oceania Oceania Oceania
#> [1100] Oceania Oceania Oceania Oceania Oceania Americas Americas
#> [1107] Americas Americas Americas Americas Americas Americas Americas
#> [1114] Americas Americas Americas Africa Africa Africa Africa
#> [1121] Africa Africa Africa Africa Africa Africa Africa
#> [1128] Africa Africa Africa Africa Africa Africa Africa
#> [1135] Africa Africa Africa Africa Africa Africa Europe
#> [1142] Europe Europe Europe Europe Europe Europe Europe
#> [1149] Europe Europe Europe Europe Asia Asia Asia
#> [1156] Asia Asia Asia Asia Asia Asia Asia
#> [1163] Asia Asia Asia Asia Asia Asia Asia
#> [1170] Asia Asia Asia Asia Asia Asia Asia
#> [1177] Americas Americas Americas Americas Americas Americas Americas
#> [1184] Americas Americas Americas Americas Americas Americas Americas
#> [1191] Americas Americas Americas Americas Americas Americas Americas
#> [1198] Americas Americas Americas Americas Americas Americas Americas
#> [1205] Americas Americas Americas Americas Americas Americas Americas
#> [1212] Americas Asia Asia Asia Asia Asia Asia
#> [1219] Asia Asia Asia Asia Asia Asia Europe
#> [1226] Europe Europe Europe Europe Europe Europe Europe
#> [1233] Europe Europe Europe Europe Europe Europe Europe
#> [1240] Europe Europe Europe Europe Europe Europe Europe
#> [1247] Europe Europe Americas Americas Americas Americas Americas
#> [1254] Americas Americas Americas Americas Americas Americas Americas
#> [1261] Africa Africa Africa Africa Africa Africa Africa
#> [1268] Africa Africa Africa Africa Africa Europe Europe
#> [1275] Europe Europe Europe Europe Europe Europe Europe
#> [1282] Europe Europe Europe Africa Africa Africa Africa
#> [1289] Africa Africa Africa Africa Africa Africa Africa
#> [1296] Africa Africa Africa Africa Africa Africa Africa
#> [1303] Africa Africa Africa Africa Africa Africa Asia
#> [1310] Asia Asia Asia Asia Asia Asia Asia
#> [1317] Asia Asia Asia Asia Africa Africa Africa
#> [1324] Africa Africa Africa Africa Africa Africa Africa
#> [1331] Africa Africa Europe Europe Europe Europe Europe
#> [1338] Europe Europe Europe Europe Europe Europe Europe
#> [1345] Africa Africa Africa Africa Africa Africa Africa
#> [1352] Africa Africa Africa Africa Africa Asia Asia
#> [1359] Asia Asia Asia Asia Asia Asia Asia
#> [1366] Asia Asia Asia Europe Europe Europe Europe
#> [1373] Europe Europe Europe Europe Europe Europe Europe
#> [1380] Europe Europe Europe Europe Europe Europe Europe
#> [1387] Europe Europe Europe Europe Europe Europe Africa
#> [1394] Africa Africa Africa Africa Africa Africa Africa
#> [1401] Africa Africa Africa Africa Africa Africa Africa
#> [1408] Africa Africa Africa Africa Africa Africa Africa
#> [1415] Africa Africa Europe Europe Europe Europe Europe
#> [1422] Europe Europe Europe Europe Europe Europe Europe
#> [1429] Asia Asia Asia Asia Asia Asia Asia
#> [1436] Asia Asia Asia Asia Asia Africa Africa
#> [1443] Africa Africa Africa Africa Africa Africa Africa
#> [1450] Africa Africa Africa Africa Africa Africa Africa
#> [1457] Africa Africa Africa Africa Africa Africa Africa
#> [1464] Africa Europe Europe Europe Europe Europe Europe
#> [1471] Europe Europe Europe Europe Europe Europe Europe
#> [1478] Europe Europe Europe Europe Europe Europe Europe
#> [1485] Europe Europe Europe Europe Asia Asia Asia
#> [1492] Asia Asia Asia Asia Asia Asia Asia
#> [1499] Asia Asia Asia Asia Asia Asia Asia
#> [1506] Asia Asia Asia Asia Asia Asia Asia
#> [1513] Africa Africa Africa Africa Africa Africa Africa
#> [1520] Africa Africa Africa Africa Africa Asia Asia
#> [1527] Asia Asia Asia Asia Asia Asia Asia
#> [1534] Asia Asia Asia Africa Africa Africa Africa
#> [1541] Africa Africa Africa Africa Africa Africa Africa
#> [1548] Africa Americas Americas Americas Americas Americas Americas
#> [1555] Americas Americas Americas Americas Americas Americas Africa
#> [1562] Africa Africa Africa Africa Africa Africa Africa
#> [1569] Africa Africa Africa Africa Europe Europe Europe
#> [1576] Europe Europe Europe Europe Europe Europe Europe
#> [1583] Europe Europe Africa Africa Africa Africa Africa
#> [1590] Africa Africa Africa Africa Africa Africa Africa
#> [1597] Europe Europe Europe Europe Europe Europe Europe
#> [1604] Europe Europe Europe Europe Europe Americas Americas
#> [1611] Americas Americas Americas Americas Americas Americas Americas
#> [1618] Americas Americas Americas Americas Americas Americas Americas
#> [1625] Americas Americas Americas Americas Americas Americas Americas
#> [1632] Americas Americas Americas Americas Americas Americas Americas
#> [1639] Americas Americas Americas Americas Americas Americas Asia
#> [1646] Asia Asia Asia Asia Asia Asia Asia
#> [1653] Asia Asia Asia Asia Asia Asia Asia
#> [1660] Asia Asia Asia Asia Asia Asia Asia
#> [1667] Asia Asia Asia Asia Asia Asia Asia
#> [1674] Asia Asia Asia Asia Asia Asia Asia
#> [1681] Africa Africa Africa Africa Africa Africa Africa
#> [1688] Africa Africa Africa Africa Africa Africa Africa
#> [1695] Africa Africa Africa Africa Africa Africa Africa
#> [1702] Africa Africa Africa
#> Levels: Asia Europe Africa Americas Oceania
Unit Test
Link for unit test is avalable here
jmurthy12/foofactors documentation built on May 8, 2019, 1:36 a.m.
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All implementation and documentation is an extension of Jennifer Bryan's foofactors package.
NOTE: This is a toy package created for expository purposes. It is not meant to actually be useful. If you want a package for factor handling, please see forcats.
foofactors
Factors are a very useful type of variable in R, but they can also drive you nuts. This package provides some helper functions for the care and feeding of factors.
Installation
devtools::install_github("jmurthy12/foofactors")
Quick demo
Binding two factors via fbind():
library(foofactors)
a <- factor(c("character", "hits", "your", "eyeballs"))
b <- factor(c("but", "integer", "where it", "counts"))
Simply catenating two factors leads to a result that most don't expect.
c(a, b)
#> [1] 1 3 4 2 1 3 4 2
The fbind() function glues two factors together and returns factor.
fbind(a, b)
#> [1] character hits your eyeballs but integer where it
#> [8] counts
#> Levels: but character counts eyeballs hits integer where it your
Often we want a table of frequencies for the levels of a factor. The base table() function returns an object of class table, which can be inconvenient for downstream work. Processing with as.data.frame() can be helpful but it's a bit clunky.
set.seed(1234)
x <- factor(sample(letters[1:5], size = 100, replace = TRUE))
table(x)
#> x
#> a b c d e
#> 25 26 17 17 15
as.data.frame(table(x))
#> x Freq
#> 1 a 25
#> 2 b 26
#> 3 c 17
#> 4 d 17
#> 5 e 15
1) Function : freq_out()
The freq_out() function returns a frequency table as a well-named tbl_df:
freq_out(x)
#> # A tibble: 5 x 2
#> x n
#> <fctr> <int>
#> 1 a 25
#> 2 b 26
#> 3 c 17
#> 4 d 17
#> 5 e 15
Unit Test
Link for unit test is avalable here
2) Function : fbind()
Let's try fbind() on data sets "cars" and "mtcars"
str(mtcars)
#> 'data.frame': 32 obs. of 11 variables:
#> $ mpg : num 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
#> $ cyl : num 6 6 4 6 8 6 8 4 4 6 ...
#> $ disp: num 160 160 108 258 360 ...
#> $ hp : num 110 110 93 110 175 105 245 62 95 123 ...
#> $ drat: num 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
#> $ wt : num 2.62 2.88 2.32 3.21 3.44 ...
#> $ qsec: num 16.5 17 18.6 19.4 17 ...
#> $ vs : num 0 0 1 1 0 1 0 1 1 1 ...
#> $ am : num 1 1 1 0 0 0 0 0 0 0 ...
#> $ gear: num 4 4 4 3 3 3 3 4 4 4 ...
#> $ carb: num 4 4 1 1 2 1 4 2 2 4 ...
str(cars)
#> 'data.frame': 50 obs. of 2 variables:
#> $ speed: num 4 4 7 7 8 9 10 10 10 11 ...
#> $ dist : num 2 10 4 22 16 10 18 26 34 17 ...
fbind(mtcars$cyl[c(2, 3, 5)], cars$speed[c(1, 2, 3)])
#> [1] 6 4 8 4 4 7
#> Levels: 4 6 7 8
Let's work on Iris data set as suggested in class
str(iris)
#> 'data.frame': 150 obs. of 5 variables:
#> $ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
#> $ Sepal.Width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
#> $ Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
#> $ Petal.Width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
#> $ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
Unit Test
Link for unit test is avalable here
I've made changes to Jenny Bryan's document starting from the below section.
3) Function : check_factor_character()
check_factor_character() determines if factors are required
Returns :
TRUE : If factors are not required FALSE : If factors are required (i.e.., factors are not characters)
check_factor_character(iris$Species)
#> [1] FALSE
#> [1] FALSE
Unit Test
Link for unit test is avalable here
4) Function : reorder_descending()
reorder_descending() reorders the factor levels in descending order,this is used especially in plots as already discussed in fct_reorder() section of Homework 5
levels(iris$Species)
#> [1] "setosa" "versicolor" "virginica"
levels(reorder_descending(iris$Species))
#> [1] "virginica" "versicolor" "setosa"
Unit Test
Link for unit test is avalable here
5) Function : factor_as_orginal()
factor_as_orginal() re-orders the factor levels same as input data
library(gapminder)
factor_as_orginal(gapminder$continent)
#> [1] Asia Asia Asia Asia Asia Asia Asia
#> [8] Asia Asia Asia Asia Asia Europe Europe
#> [15] Europe Europe Europe Europe Europe Europe Europe
#> [22] Europe Europe Europe Africa Africa Africa Africa
#> [29] Africa Africa Africa Africa Africa Africa Africa
#> [36] Africa Africa Africa Africa Africa Africa Africa
#> [43] Africa Africa Africa Africa Africa Africa Americas
#> [50] Americas Americas Americas Americas Americas Americas Americas
#> [57] Americas Americas Americas Americas Oceania Oceania Oceania
#> [64] Oceania Oceania Oceania Oceania Oceania Oceania Oceania
#> [71] Oceania Oceania Europe Europe Europe Europe Europe
#> [78] Europe Europe Europe Europe Europe Europe Europe
#> [85] Asia Asia Asia Asia Asia Asia Asia
#> [92] Asia Asia Asia Asia Asia Asia Asia
#> [99] Asia Asia Asia Asia Asia Asia Asia
#> [106] Asia Asia Asia Europe Europe Europe Europe
#> [113] Europe Europe Europe Europe Europe Europe Europe
#> [120] Europe Africa Africa Africa Africa Africa Africa
#> [127] Africa Africa Africa Africa Africa Africa Americas
#> [134] Americas Americas Americas Americas Americas Americas Americas
#> [141] Americas Americas Americas Americas Europe Europe Europe
#> [148] Europe Europe Europe Europe Europe Europe Europe
#> [155] Europe Europe Africa Africa Africa Africa Africa
#> [162] Africa Africa Africa Africa Africa Africa Africa
#> [169] Americas Americas Americas Americas Americas Americas Americas
#> [176] Americas Americas Americas Americas Americas Europe Europe
#> [183] Europe Europe Europe Europe Europe Europe Europe
#> [190] Europe Europe Europe Africa Africa Africa Africa
#> [197] Africa Africa Africa Africa Africa Africa Africa
#> [204] Africa Africa Africa Africa Africa Africa Africa
#> [211] Africa Africa Africa Africa Africa Africa Asia
#> [218] Asia Asia Asia Asia Asia Asia Asia
#> [225] Asia Asia Asia Asia Africa Africa Africa
#> [232] Africa Africa Africa Africa Africa Africa Africa
#> [239] Africa Africa Americas Americas Americas Americas Americas
#> [246] Americas Americas Americas Americas Americas Americas Americas
#> [253] Africa Africa Africa Africa Africa Africa Africa
#> [260] Africa Africa Africa Africa Africa Africa Africa
#> [267] Africa Africa Africa Africa Africa Africa Africa
#> [274] Africa Africa Africa Americas Americas Americas Americas
#> [281] Americas Americas Americas Americas Americas Americas Americas
#> [288] Americas Asia Asia Asia Asia Asia Asia
#> [295] Asia Asia Asia Asia Asia Asia Americas
#> [302] Americas Americas Americas Americas Americas Americas Americas
#> [309] Americas Americas Americas Americas Africa Africa Africa
#> [316] Africa Africa Africa Africa Africa Africa Africa
#> [323] Africa Africa Africa Africa Africa Africa Africa
#> [330] Africa Africa Africa Africa Africa Africa Africa
#> [337] Africa Africa Africa Africa Africa Africa Africa
#> [344] Africa Africa Africa Africa Africa Americas Americas
#> [351] Americas Americas Americas Americas Americas Americas Americas
#> [358] Americas Americas Americas Africa Africa Africa Africa
#> [365] Africa Africa Africa Africa Africa Africa Africa
#> [372] Africa Europe Europe Europe Europe Europe Europe
#> [379] Europe Europe Europe Europe Europe Europe Americas
#> [386] Americas Americas Americas Americas Americas Americas Americas
#> [393] Americas Americas Americas Americas Europe Europe Europe
#> [400] Europe Europe Europe Europe Europe Europe Europe
#> [407] Europe Europe Europe Europe Europe Europe Europe
#> [414] Europe Europe Europe Europe Europe Europe Europe
#> [421] Africa Africa Africa Africa Africa Africa Africa
#> [428] Africa Africa Africa Africa Africa Americas Americas
#> [435] Americas Americas Americas Americas Americas Americas Americas
#> [442] Americas Americas Americas Americas Americas Americas Americas
#> [449] Americas Americas Americas Americas Americas Americas Americas
#> [456] Americas Africa Africa Africa Africa Africa Africa
#> [463] Africa Africa Africa Africa Africa Africa Americas
#> [470] Americas Americas Americas Americas Americas Americas Americas
#> [477] Americas Americas Americas Americas Africa Africa Africa
#> [484] Africa Africa Africa Africa Africa Africa Africa
#> [491] Africa Africa Africa Africa Africa Africa Africa
#> [498] Africa Africa Africa Africa Africa Africa Africa
#> [505] Africa Africa Africa Africa Africa Africa Africa
#> [512] Africa Africa Africa Africa Africa Europe Europe
#> [519] Europe Europe Europe Europe Europe Europe Europe
#> [526] Europe Europe Europe Europe Europe Europe Europe
#> [533] Europe Europe Europe Europe Europe Europe Europe
#> [540] Europe Africa Africa Africa Africa Africa Africa
#> [547] Africa Africa Africa Africa Africa Africa Africa
#> [554] Africa Africa Africa Africa Africa Africa Africa
#> [561] Africa Africa Africa Africa Europe Europe Europe
#> [568] Europe Europe Europe Europe Europe Europe Europe
#> [575] Europe Europe Africa Africa Africa Africa Africa
#> [582] Africa Africa Africa Africa Africa Africa Africa
#> [589] Europe Europe Europe Europe Europe Europe Europe
#> [596] Europe Europe Europe Europe Europe Americas Americas
#> [603] Americas Americas Americas Americas Americas Americas Americas
#> [610] Americas Americas Americas Africa Africa Africa Africa
#> [617] Africa Africa Africa Africa Africa Africa Africa
#> [624] Africa Africa Africa Africa Africa Africa Africa
#> [631] Africa Africa Africa Africa Africa Africa Americas
#> [638] Americas Americas Americas Americas Americas Americas Americas
#> [645] Americas Americas Americas Americas Americas Americas Americas
#> [652] Americas Americas Americas Americas Americas Americas Americas
#> [659] Americas Americas Asia Asia Asia Asia Asia
#> [666] Asia Asia Asia Asia Asia Asia Asia
#> [673] Europe Europe Europe Europe Europe Europe Europe
#> [680] Europe Europe Europe Europe Europe Europe Europe
#> [687] Europe Europe Europe Europe Europe Europe Europe
#> [694] Europe Europe Europe Asia Asia Asia Asia
#> [701] Asia Asia Asia Asia Asia Asia Asia
#> [708] Asia Asia Asia Asia Asia Asia Asia
#> [715] Asia Asia Asia Asia Asia Asia Asia
#> [722] Asia Asia Asia Asia Asia Asia Asia
#> [729] Asia Asia Asia Asia Asia Asia Asia
#> [736] Asia Asia Asia Asia Asia Asia Asia
#> [743] Asia Asia Europe Europe Europe Europe Europe
#> [750] Europe Europe Europe Europe Europe Europe Europe
#> [757] Asia Asia Asia Asia Asia Asia Asia
#> [764] Asia Asia Asia Asia Asia Europe Europe
#> [771] Europe Europe Europe Europe Europe Europe Europe
#> [778] Europe Europe Europe Americas Americas Americas Americas
#> [785] Americas Americas Americas Americas Americas Americas Americas
#> [792] Americas Asia Asia Asia Asia Asia Asia
#> [799] Asia Asia Asia Asia Asia Asia Asia
#> [806] Asia Asia Asia Asia Asia Asia Asia
#> [813] Asia Asia Asia Asia Africa Africa Africa
#> [820] Africa Africa Africa Africa Africa Africa Africa
#> [827] Africa Africa Asia Asia Asia Asia Asia
#> [834] Asia Asia Asia Asia Asia Asia Asia
#> [841] Asia Asia Asia Asia Asia Asia Asia
#> [848] Asia Asia Asia Asia Asia Asia Asia
#> [855] Asia Asia Asia Asia Asia Asia Asia
#> [862] Asia Asia Asia Asia Asia Asia Asia
#> [869] Asia Asia Asia Asia Asia Asia Asia
#> [876] Asia Africa Africa Africa Africa Africa Africa
#> [883] Africa Africa Africa Africa Africa Africa Africa
#> [890] Africa Africa Africa Africa Africa Africa Africa
#> [897] Africa Africa Africa Africa Africa Africa Africa
#> [904] Africa Africa Africa Africa Africa Africa Africa
#> [911] Africa Africa Africa Africa Africa Africa Africa
#> [918] Africa Africa Africa Africa Africa Africa Africa
#> [925] Africa Africa Africa Africa Africa Africa Africa
#> [932] Africa Africa Africa Africa Africa Asia Asia
#> [939] Asia Asia Asia Asia Asia Asia Asia
#> [946] Asia Asia Asia Africa Africa Africa Africa
#> [953] Africa Africa Africa Africa Africa Africa Africa
#> [960] Africa Africa Africa Africa Africa Africa Africa
#> [967] Africa Africa Africa Africa Africa Africa Africa
#> [974] Africa Africa Africa Africa Africa Africa Africa
#> [981] Africa Africa Africa Africa Americas Americas Americas
#> [988] Americas Americas Americas Americas Americas Americas Americas
#> [995] Americas Americas Asia Asia Asia Asia Asia
#> [1002] Asia Asia Asia Asia Asia Asia Asia
#> [1009] Europe Europe Europe Europe Europe Europe Europe
#> [1016] Europe Europe Europe Europe Europe Africa Africa
#> [1023] Africa Africa Africa Africa Africa Africa Africa
#> [1030] Africa Africa Africa Africa Africa Africa Africa
#> [1037] Africa Africa Africa Africa Africa Africa Africa
#> [1044] Africa Asia Asia Asia Asia Asia Asia
#> [1051] Asia Asia Asia Asia Asia Asia Africa
#> [1058] Africa Africa Africa Africa Africa Africa Africa
#> [1065] Africa Africa Africa Africa Asia Asia Asia
#> [1072] Asia Asia Asia Asia Asia Asia Asia
#> [1079] Asia Asia Europe Europe Europe Europe Europe
#> [1086] Europe Europe Europe Europe Europe Europe Europe
#> [1093] Oceania Oceania Oceania Oceania Oceania Oceania Oceania
#> [1100] Oceania Oceania Oceania Oceania Oceania Americas Americas
#> [1107] Americas Americas Americas Americas Americas Americas Americas
#> [1114] Americas Americas Americas Africa Africa Africa Africa
#> [1121] Africa Africa Africa Africa Africa Africa Africa
#> [1128] Africa Africa Africa Africa Africa Africa Africa
#> [1135] Africa Africa Africa Africa Africa Africa Europe
#> [1142] Europe Europe Europe Europe Europe Europe Europe
#> [1149] Europe Europe Europe Europe Asia Asia Asia
#> [1156] Asia Asia Asia Asia Asia Asia Asia
#> [1163] Asia Asia Asia Asia Asia Asia Asia
#> [1170] Asia Asia Asia Asia Asia Asia Asia
#> [1177] Americas Americas Americas Americas Americas Americas Americas
#> [1184] Americas Americas Americas Americas Americas Americas Americas
#> [1191] Americas Americas Americas Americas Americas Americas Americas
#> [1198] Americas Americas Americas Americas Americas Americas Americas
#> [1205] Americas Americas Americas Americas Americas Americas Americas
#> [1212] Americas Asia Asia Asia Asia Asia Asia
#> [1219] Asia Asia Asia Asia Asia Asia Europe
#> [1226] Europe Europe Europe Europe Europe Europe Europe
#> [1233] Europe Europe Europe Europe Europe Europe Europe
#> [1240] Europe Europe Europe Europe Europe Europe Europe
#> [1247] Europe Europe Americas Americas Americas Americas Americas
#> [1254] Americas Americas Americas Americas Americas Americas Americas
#> [1261] Africa Africa Africa Africa Africa Africa Africa
#> [1268] Africa Africa Africa Africa Africa Europe Europe
#> [1275] Europe Europe Europe Europe Europe Europe Europe
#> [1282] Europe Europe Europe Africa Africa Africa Africa
#> [1289] Africa Africa Africa Africa Africa Africa Africa
#> [1296] Africa Africa Africa Africa Africa Africa Africa
#> [1303] Africa Africa Africa Africa Africa Africa Asia
#> [1310] Asia Asia Asia Asia Asia Asia Asia
#> [1317] Asia Asia Asia Asia Africa Africa Africa
#> [1324] Africa Africa Africa Africa Africa Africa Africa
#> [1331] Africa Africa Europe Europe Europe Europe Europe
#> [1338] Europe Europe Europe Europe Europe Europe Europe
#> [1345] Africa Africa Africa Africa Africa Africa Africa
#> [1352] Africa Africa Africa Africa Africa Asia Asia
#> [1359] Asia Asia Asia Asia Asia Asia Asia
#> [1366] Asia Asia Asia Europe Europe Europe Europe
#> [1373] Europe Europe Europe Europe Europe Europe Europe
#> [1380] Europe Europe Europe Europe Europe Europe Europe
#> [1387] Europe Europe Europe Europe Europe Europe Africa
#> [1394] Africa Africa Africa Africa Africa Africa Africa
#> [1401] Africa Africa Africa Africa Africa Africa Africa
#> [1408] Africa Africa Africa Africa Africa Africa Africa
#> [1415] Africa Africa Europe Europe Europe Europe Europe
#> [1422] Europe Europe Europe Europe Europe Europe Europe
#> [1429] Asia Asia Asia Asia Asia Asia Asia
#> [1436] Asia Asia Asia Asia Asia Africa Africa
#> [1443] Africa Africa Africa Africa Africa Africa Africa
#> [1450] Africa Africa Africa Africa Africa Africa Africa
#> [1457] Africa Africa Africa Africa Africa Africa Africa
#> [1464] Africa Europe Europe Europe Europe Europe Europe
#> [1471] Europe Europe Europe Europe Europe Europe Europe
#> [1478] Europe Europe Europe Europe Europe Europe Europe
#> [1485] Europe Europe Europe Europe Asia Asia Asia
#> [1492] Asia Asia Asia Asia Asia Asia Asia
#> [1499] Asia Asia Asia Asia Asia Asia Asia
#> [1506] Asia Asia Asia Asia Asia Asia Asia
#> [1513] Africa Africa Africa Africa Africa Africa Africa
#> [1520] Africa Africa Africa Africa Africa Asia Asia
#> [1527] Asia Asia Asia Asia Asia Asia Asia
#> [1534] Asia Asia Asia Africa Africa Africa Africa
#> [1541] Africa Africa Africa Africa Africa Africa Africa
#> [1548] Africa Americas Americas Americas Americas Americas Americas
#> [1555] Americas Americas Americas Americas Americas Americas Africa
#> [1562] Africa Africa Africa Africa Africa Africa Africa
#> [1569] Africa Africa Africa Africa Europe Europe Europe
#> [1576] Europe Europe Europe Europe Europe Europe Europe
#> [1583] Europe Europe Africa Africa Africa Africa Africa
#> [1590] Africa Africa Africa Africa Africa Africa Africa
#> [1597] Europe Europe Europe Europe Europe Europe Europe
#> [1604] Europe Europe Europe Europe Europe Americas Americas
#> [1611] Americas Americas Americas Americas Americas Americas Americas
#> [1618] Americas Americas Americas Americas Americas Americas Americas
#> [1625] Americas Americas Americas Americas Americas Americas Americas
#> [1632] Americas Americas Americas Americas Americas Americas Americas
#> [1639] Americas Americas Americas Americas Americas Americas Asia
#> [1646] Asia Asia Asia Asia Asia Asia Asia
#> [1653] Asia Asia Asia Asia Asia Asia Asia
#> [1660] Asia Asia Asia Asia Asia Asia Asia
#> [1667] Asia Asia Asia Asia Asia Asia Asia
#> [1674] Asia Asia Asia Asia Asia Asia Asia
#> [1681] Africa Africa Africa Africa Africa Africa Africa
#> [1688] Africa Africa Africa Africa Africa Africa Africa
#> [1695] Africa Africa Africa Africa Africa Africa Africa
#> [1702] Africa Africa Africa
#> Levels: Asia Europe Africa Americas Oceania
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