# Convenience Functions, Moving Window Statistics, and Graphics

## Documentation for package ‘dvmisc’ version 1.1.4

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

dvmisc-package | Convenience Functions, Moving Window Statistics, and Graphics
bmi3 | Convert Continuous BMI Values into 3-Level Factor
bmi4 | Convert Continuous BMI Values into 4-Level Factor
cleancut | Convert Numeric to Factor with Convenient Interface
clean_glm | Create a Clean Summary Table from a glm Object
create_qgroups | Create Quantile Groups
create_qgroups_svy | Create Quantile Groups (Complex Survey Data)
cut_decreasing | Cut with Decreasing Factor Levels
dots_bars | Plot Points +/- Error Bars
dvmisc | Convenience Functions, Moving Window Statistics, and Graphics
expand_grid | Similar to expand.grid but with Sequences Reversed and Ability to Treat Variables as Sets
gammareg | Constant-Scale Gamma Model for Y vs. Covariates with Y Potentially Subject to Multiplicative Lognormal Errors
get_mse | Extract Mean Squared Error (MSE) from Fitted Regression Model
headtail | Return the First and Last Part of an Object
histo | Histogram with Added Options
inside | Check Whether Numeric Value Falls Inside Two Other Numeric Values
interval_groups | Split Continuous Variable into Equal-Width Groups
iterate | Iterate Function Over All Combinations of User-Specified Inputs, Potentially Multiple Times
list_override | Add Elements of Second List to First List, Replacing Elements with Same Name
logit_prob | Convert Logit to Probability
lognormalreg | Linear Regression of log(Y) vs. Covariates with Y Potentially Subject to Multiplicative Lognormal Errors
logodds_graph | Graph Log-Odds of Binary Variable Across A Grouping Variable
max_n | Maximum of Numeric Values
means_graph | Graph Means Across a Grouping Variable
mean_i | Mean of Integer Values
min_n | Minimum of Numeric Values
mle_gamma | Maximum Likelihood Estimation for X[1], ..., X[n] ~ Gamma(alpha, beta)
mle_gamma_lnorm | Maximum Likelihood Estimation for X[1], ..., X[n] ~ Gamma(alpha, beta) Lognormal(mu, sigsq)
mle_lnorm | Maximum Likelihood Estimation for X[1], ..., X[n] ~ Lognormal(mu, sigsq)
mle_lnorm_lnorm | Maximum Likelihood Estimation for X[1], ..., X[n] ~ Lognormal(mu1, sigsq1) Lognormal(mu2, sigsq2)
moving_mean | Moving Averages
n_2t_equal | Calculate Per-Group Sample Size for Two-Sample Equal Variance T-Test
n_2t_unequal | Calculate Per-Group Sample Size for Two-Sample Unequal Variance T-Test
odds_prob | Convert Odds to Probability
plot_ll | Plot Log-Likelihood vs. Values of One Parameter
pooled_var | Pooled Sample Variance
power_2t_equal | Calculate Power for Two-Sample Equal Variance T-Test
power_2t_unequal | Calculate Power for Two-Sample Unequal Variance T-Test
prob_logit | Convert Probability to Logit
prob_odds | Convert Probability to Odds
quant_groups | Split Continuous Variable into Quantile Groups
quant_groups_svy | Split Continuous Variable into Quantile Groups (Survey Version)
reverse_cut | Reverse Cut
sliding_cor | Moving Correlations as Short Vector Slides Across Long Vector
sliding_cov | Moving Covariance as Short Vector Slides Across Long Vector
sumsim | Summarize Simulation Results
sum_i | Sum of Integer Values
trim | Trim Tail Values off of a Vector
truerange | Range of a Vector (Not Min/Max!)
which.max2 | Return Index of (First) Maximum of a Vector
which.min2 | Return Index of (First) Minimum of a Vector
which_max_im | Return (Row, Column) Index of (First) Maximum of an Integer Matrix
which_max_iv | Return Index of (First) Maximum of an Integer Vector
which_max_nm | Return (Row, Column) Index of (First) Maximum of a Numeric Matrix
which_max_nv | Return Index of (First) Maximum of a Numeric Vector
which_min_im | Return (Row, Column) Index of (First) Minimum of an Integer Matrix
which_min_iv | Return Index of (First) Minimum of an Integer Vector
which_min_nm | Return (Row, Column) Index of (First) Minimum of a Numeric Matrix
which_min_nv | Return Index of (First) Minimum of a Numeric Vector