Other packages > Find by keyword >

myClim  

Microclimatic Data Processing
View on CRAN: Click here


Download and install myClim package within the R console
Install from CRAN:
install.packages("myClim")

Install from Github:
library("remotes")
install_github("cran/myClim")

Install by package version:
library("remotes")
install_version("myClim", "1.3.0")



Attach the package and use:
library("myClim")
Maintained by
Vojtěch Kalčík
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-08
Latest Update: 2024-02-16
Description:
Handling the microclimatic data in R. The 'myClim' workflow begins at the reading data primary from microclimatic dataloggers, but can be also reading of meteorological station data from files. Cleaning time step, time zone settings and metadata collecting is the next step of the work flow. With 'myClim' tools one can crop, join, downscale, and convert microclimatic data formats, sort them into localities, request descriptive characteristics and compute microclimatic variables. Handy plotting functions are provided with smart defaults.
How to cite:
Vojtěch Kalčík (2023). myClim: Microclimatic Data Processing. R package version 1.3.0, https://cran.r-project.org/web/packages/myClim. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.1 (2023-05-08 19:40), 1.0.12 (2023-11-16 23:00), 1.1.0 (2024-02-16 12:20), 1.2.0 (2024-08-21 12:00)
Other packages that cited myClim R package
View myClim citation profile
Other R packages that myClim depends, imports, suggests or enhances
Complete documentation for myClim
Functions, R codes and Examples using the myClim R package
Some associated functions: mc_DataFormat-class . mc_HOBODataFormat-class . mc_LocalityMetadata-class . mc_LoggerCleanInfo-class . mc_LoggerMetadata-class . mc_MainMetadata-class . mc_MainMetadataAgg-class . mc_Physical-class . mc_Sensor-class . mc_SensorMetadata-class . mc_TOMSTDataFormat-class . mc_TOMSTJoinDataFormat-class . mc_agg . mc_calc_cumsum . mc_calc_fdd . mc_calc_gdd . mc_calc_snow . mc_calc_snow_agg . mc_calc_tomst_dendro . mc_calc_vpd . mc_calc_vwc . mc_calib_moisture . mc_const_CALIB_MOIST_ACOR_T . mc_const_CALIB_MOIST_REF_T . mc_const_CALIB_MOIST_WCOR_T . mc_const_SENSOR_Dendro_T . mc_const_SENSOR_Dendro_raw . mc_const_SENSOR_FDD . mc_const_SENSOR_GDD . mc_const_SENSOR_HOBO_RH . mc_const_SENSOR_HOBO_T . mc_const_SENSOR_RH . mc_const_SENSOR_TMS_T1 . mc_const_SENSOR_TMS_T2 . mc_const_SENSOR_TMS_T3 . mc_const_SENSOR_TMS_moist . mc_const_SENSOR_T_C . mc_const_SENSOR_Thermo_T . mc_const_SENSOR_VPD . mc_const_SENSOR_VWC . mc_const_SENSOR_count . mc_const_SENSOR_coverage . mc_const_SENSOR_dendro_l_um . mc_const_SENSOR_integer . mc_const_SENSOR_logical . mc_const_SENSOR_precipitation . mc_const_SENSOR_real . mc_const_SENSOR_snow_bool . mc_const_SENSOR_snow_fresh . mc_const_SENSOR_snow_total . mc_const_SENSOR_sun_shine . mc_const_SENSOR_wind_speed . mc_data_example_agg . mc_data_example_clean . mc_data_example_raw . mc_data_formats . mc_data_heights . mc_data_physical . mc_data_sensors . mc_data_vwc_parameters . mc_env_moist . mc_env_temp . mc_env_vpd . mc_filter . mc_info . mc_info_clean . mc_info_count . mc_info_meta . mc_join . mc_load . mc_plot_image . mc_plot_line . mc_plot_loggers . mc_plot_raster . mc_prep_TMSoffsoil . mc_prep_calib . mc_prep_calib_load . mc_prep_clean . mc_prep_crop . mc_prep_fillNA . mc_prep_merge . mc_prep_meta_locality . mc_prep_meta_sensor . mc_prep_solar_tz . mc_read_data . mc_read_files . mc_read_long . mc_read_tubedb . mc_read_wide . mc_reshape_long . mc_reshape_wide . mc_save . myClim-package . myClimList . print.myClimList . sub-.myClimList . 
Some associated R codes: agg.R . calc.R . calib.R . common.R . data.R . env.R . filter.R . info.R . join.R . model.R . myClim-package.R . plot.R . prep.R . read.R . reshape.R . serialize.R .  Full myClim package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

pkgdepends  
Package Dependency Resolution and Downloads
Find recursive dependencies of 'R' packages from various sources. Solve the dependencies to obtain ...
Download / Learn more Package Citations See dependency  
SCBiclust  
Identifies Mean, Variance, and Hierarchically Clustered Biclusters
Identifies a bicluster, a submatrix of the data such that the features and observations within the s ...
Download / Learn more Package Citations See dependency  
RcppHNSW  
'Rcpp' Bindings for 'hnswlib', a Library for Approximate Nearest Neighbors
'Hnswlib' is a C++ library for Approximate Nearest Neighbors. This package provides a minimal R int ...
Download / Learn more Package Citations See dependency  
crossrun  
Joint Distribution of Number of Crossings and Longest Run
Joint distribution of number of crossings and the longest run in a series of independent Bernoulli ...
Download / Learn more Package Citations See dependency  
deductive  
Data Correction and Imputation Using Deductive Methods
Attempt to repair inconsistencies and missing values in data records by using information from vali ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  

23,229

R Packages

199,929

Dependencies

62,984

Author Associations

23,230

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA