data_str | R Documentation |
his is a set of function are designed to help the user to deal with the structure of new data sets.
data_str(data, min.values = 100, min.levels = 10)
y_distinct(var)
data_distinct(data)
data_cha2fac(data, show.str = FALSE)
data_few2fac(data, min.levels = 10, show.str = FALSE)
data_int2num(data, min.values = 50, show.str = FALSE)
data |
a data frame |
min.values |
the minimal value distinct values befor warning |
min.levels |
the minimal value distinct levels befor warning |
var |
a vector |
show.str |
whether to show the structure |
The function data_str()
gives the structure of the data set.
The function data_distinct()
gives the distinct values of the vectors in the data set
The function y_distinct()
gives the distinct values of single vector
The function data_cha2fac()
tranforms all character vectors to factors
The function data_few2fac()
transform all vectors with fewer values than min.levels
into factors
The function data_int2num()
transform all integer vectors with more values than min.values
into numeric
Mikis Stasinopoulos, Bob Rigby and Fernanda De Bastiani
Rigby, R. A. and Stasinopoulos D. M. (2005). Generalized additive models for location, scale and shape,(with discussion), Appl. Statist., 54, part 3, pp 507-554.
Rigby, R. A., Stasinopoulos, D. M., Heller, G. Z., and De Bastiani, F. (2019) Distributions for modeling location, scale, and shape: Using GAMLSS in R, Chapman and Hall/CRC. An older version can be found in https://www.gamlss.com/.
Stasinopoulos D. M. Rigby R.A. (2007) Generalized additive models for location scale and shape (GAMLSS) in R. Journal of Statistical Software, Vol. 23, Issue 7, Dec 2007, https://www.jstatsoft.org/v23/i07/.
Stasinopoulos D. M., Rigby R.A., Heller G., Voudouris V., and De Bastiani F., (2017) Flexible Regression and Smoothing: Using GAMLSS in R, Chapman and Hall/CRC.
(see also https://www.gamlss.com/).
data_dim
data_str(rent)
data_distinct(rent)
data_cha2fac(rent)
data_few2fac(rent)
data_int2num(rent)
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