color_bar_maker {chillR}

Make color scheme for bar plots in outputs of the chillR package

Description

Function to make color schemes for color bar plots in the chillR package. Colors are assigned based on values in two columns of a data frame. One column contains a threshold, below which col3 is assigned. If values are above the threshold, the value in the other column determines the color: col1 if the value is negative, col2 if positive. This function is useful for making the PLS output figures in the chillR package.

Usage

color_bar_maker(column_yn, column_quant, threshold, col1, col2, col3)

Arguments

column_yn

numeric vector containing the data, on which the threshold is to be applied. In the case of the PLS output, this is the data from the VIP column.

column_quant

numeric vector containing the data that determines whether items from column_yn that are above the threshold get assigned col1 or col2.

threshold

threshold for values from column_yn to be used for deciding which bars should get col3 and which ones should move on to the next decision step (col1 or col2)

col1

a color (either a color name or a number) this is applied where column_yn is above the threshold, and column_quant is negative

col2

a color (either a color name or a number) this is applied where column_yn is above the threshold, and column_quant is positive

col3

a color (either a color name or a number) this is applied where column_yn is below the threshold

Value

a vector of colors, which can be used as col argument when making plots

Author(s)

Eike Luedeling

References

Luedeling E, Kunz A and Blanke M, 2013. Identification of chilling and heat requirements of cherry trees - a statistical approach. International Journal of Biometeorology 57,679-689.

Examples

PLS_results<-PLS_pheno(
  weather_data=make_all_day_table(KA_weather),
  split_month=6,   #last month in same year
  bio_data=KA_bloom)

colbar<-color_bar_maker(PLS_results$PLS_summary$VIP,PLS_results$PLS_summary$Coef,0.8,
       "RED","DARK GREEN","GREY")