R: Forest Mensuration and Management

# Forest Mensuration and Management

## Documentation for package ‘forestmangr’ version 0.9.9

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

%>% | Pipe
%T>% | Tee
:= | Pipe
avg_tree_curve | Generate the curve of a forest's average tree using the Kozak taper model
bdq_meyer | Classify a forest for selective cutting using the Meyer BDq method
bias_per | Bias of an estimator in percentage
check_names | Check if character vector contains variable names
classify_site | Classify inventory data based on site index
class_center | Classify a given variable and get center of class
diameter_class | Divide data into diameter classes, and get number of observations
dom_height | Calculate the dominant height of forest inventory data plots
est_clutter | Estimate future and present basal area, volume, TCA, CMI and MMI values of the Clutter Growth and Yield Model
exfm1 | Stratified random inventory pilot data
exfm10 | Inventory data of an eucalyptus forest Brazil with dominant height variable
exfm11 | Observed hieght values of trees, and estimated values using 3 different models
exfm12 | Inventory data of an eucalyptus forest in Brazil, with age and site variables
exfm13 | Experimental data on nitrogen effect in species fertilizing
exfm14 | Inventory data of an eucalyptus forest in Brazil, with age and dominant height variables
exfm15 | Simplified Inventory data of an eucalyptus forest in Brazil
exfm16 | Inventory data of an eucalyptus forest in Brazil, with age variable
exfm17 | Inventory data of an eucalyptus forest in Brazil, with age and site variables
exfm18 | Experimental data on nitrogen effect in species fertilizing
exfm19 | Volume of felled trees, measured in the Smalian method
exfm2 | Stratified random inventory definite data
exfm20 | Inventory data of a natural forest in Brazil
exfm21 | Inventory data of an eucalyptus forest in Brazil
exfm22 | Revenue data if an eucalyptus forest
exfm3 | Simple random inventory pilot data
exfm4 | Simple random inventory definite data
exfm5 | Systematic inventory data
exfm6 | Stratified random inventory definite data 2
exfm7 | Data of felled trees sections, measured in the Smalian method
exfm8 | Data of felled trees sections, measured in the Huber method
exfm9 | Inventory data of an eucalyptus forest in minas gerais, Brazil
fit_clutter | Fit the Clutter model for growth and yield
forest_structure | Get the forest horizontal, vertical and internal structure
graybill_f | Graybill F Test
guide_curve | Get the guide curve plot for growth and yield analysis of inventory data
huberwb | Calculate the volume with bark of trees using the Huber method
huberwob | Calculate the volume without bark of trees using the Huber method
ident_model | Identity of a Model Test
inv | Calculate the inverse of a number
lm_resid | Fit linear regressions, with the option of removing outliers using a interactive plot of residuals.
lm_resid_group | Fit linear regressions by group, with the option of removing outliers using a interactive plot of residuals.
lm_table | Fit linear regressions by group, and get different output options.
na_to_0 | Convert NA to zero on numeric variables
nls_table | Fit non-linear regressions by group, using LM algorithm and get different output options.
npv_irr | Calculate Net Present Value and other economic variables
outliersiqr | Calculate interquartile range
plot_summarise | Summarize forest inventory data
pow | Raise a numeric vector to a given power
resid_plot | Calculate residual values and create plots
rmse_per | RMSE of an estimator in percentage
rm_empty_col | Remove empty columns
round_df | Round all numeric variables of a data frame to a given digit
similarity_matrix | Get the similarity matrix of an area
smalianwb | Calculate the volume with bark of trees using the Smalian method
smalianwob | Calculate the volume without bark of trees using the Smalian method
species_aggreg | Get the aggregation state of species
species_diversity | Get the species diversity indexes
sprs | Simple Random Sampling
ss_diffs | Systematic Sampling
strs | Stratified Random Sampling
tree_summarise | Calculate the equivalent diameter of trees with more than one trunk
vertical_stratum | Divide data into 3 vertical strata
vol_summarise | Summarize volume of trees