TiagoOlivoto/metan v1.3.0

New functions alpha_color() To get a semi-transparent color gafem() To analyze genotypes using fixed-effect models. residual_plots() A helper function to create residuals plots. stars_pval() To generate significance stars from p-values doo() An alternative to dplyr::do for doing anything utils_stats cv_by() For computing coefficient of variation by levels of a factor. max_by() For computing maximum values by levels of a factor. means_by() For computing arithmetic means by levels of a factor. min_by() For computing minimum values by levels of a factor. n_by() For getting the length. sd_by() For computing sample standard deviation. sem_by() For computing standard error of the mean by levels of a factor. av_dev() computes the average absolute deviation. ci_mean() computes the confidence interval for the mean. cv() computes the coefficient of variation. hm_mean(), gm_mean() computes the harmonic and geometric means, respectively. The harmonic mean is the reciprocal of the arithmetic mean of the reciprocals. The geometric mean is the nth root of n products. kurt() computes the kurtosis like used in SAS and SPSS. range_data() Computes the range of the values. sd_amo(), sd_pop() Computes sample and populational standard deviation, respectively. sem() computes the standard error of the mean. skew() computes the skewness like used in SAS and SPSS. sum_dev() computes the sum of the absolute deviations. sum_sq_dev() computes the sum of the squared deviations. var_amo(), var_pop() computes sample and populational variance. valid_n() Return the valid (not NA) length of a data. utils_rows_cols colnames_to_lower(), colnames_to_upper(), and colnames_to_title() to translate column names to lower, upper and title cases quickly. utils_num_str all_lower_case(), all_upper_case(), and all_title_case() to translate strings vectors or character columns of a data frame to lower, upper and title cases, respectively. tidy_strings() Tidy up characters strings, non-numeric columns, or any selected columns in a data frame by putting all word in upper case, replacing any space, tabulation, punctuation characters by '_', and putting '_' between lower and upper cases. find_text_in_num() Find text fragments in columns assumed to be numeric. This is especially useful when everything() is used in argument resp to select the response variables. New arguments anova_ind(), anova_joint(), performs_ammi(), waas() and waasb(), now have the argument block to analyze data from trials conducted in an alpha-lattice design. Thanks to @myaseen208 for his suggestion regarding multi-environment trial analysis with alpha-lattice designs. argument repel included in plot_scores() to control wheater the labels are repelled or not to avoid overlapping. Deprecated arguments Argument means_by was deprecated in functions can_corr() and clustering(). Use means_by() to pass data based on means of factor to these functions. Minor changes Change "#000000FF" with "#FFFFFF00" in transparent_color() desc_stat() now handles grouped data passed from dplyr::group_by() plot_scores() now support objects of class waas_mean. Include inst/CITATION to return a reference paper with citation("metan"). Change 'PC2' with 'PC1' in y-axis of plot_scores(type = 2) (#1) get_model_data() now support models of class anova_joint and gafem and extract random effects of models fitted with waasb() and gamem(). Update plot.waasb() and plot.gamem() to show distribution of random effects. inspect(), cv_blup(), cv_ammif(), and cv_ammi() now generate a warning message saying that is not possible to compute cross-validation procedures in experiments with two replicates only. Thanks to @Vlatko for his email. plot.wsmp() now returns heatmaps created with ggplot2. Thus, we removed dependency on gplots. Vignettes update