| china_temp.int | R Documentation |
Interval-valued temperature data (Celsius) for 60 Chinese meteorological stations observed over the four quarters of years 1974 to 1988. One outlier observation (YinChuan_1982) has been discarded.
data(china_temp.int)
A symbolic data frame (symbolic_tbl) with 899 observations and 5 variables:
Q1: Quarter 1 (Jan–Mar) temperature range (tenths of degrees Celsius, interval).
Q2: Quarter 2 (Apr–Jun) temperature range (interval).
Q3: Quarter 3 (Jul–Sep) temperature range (interval).
Q4: Quarter 4 (Oct–Dec) temperature range (interval).
GeoReg: Geographic region classification (factor).
Originates from the Long-Term Instrumental Climatic Database of the People's Republic of China. Widely used in the SDA literature for demonstrating standardization, clustering, self-organizing maps, MLE and MANOVA.
| Sample size (n) | 899 |
| Variables (p) | 5 |
| Subject area | Climate |
| Symbolic format | Interval |
| Analytical tasks | Clustering |
https://CRAN.R-project.org/package=MAINT.Data
Brito, P. and Duarte Silva, A.P. (2012). Modelling interval data with Normal and Skew-Normal distributions. J. Appl. Stat., 39(1), 3-20.
data(china_temp.int)
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