Trees dataSet: A font exploration in R language
EDA of trees dataSet df [31 x 3], a POC test bed for R font study
## Rows: 31 Columns: 3
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## dbl (3): Girth, Height, Volume
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.## [1] "Girth" "Height" "Volume"## spec_tbl_df [31 × 3] (S3: spec_tbl_df/tbl_df/tbl/data.frame)
## $ Girth : num [1:31] 8.3 8.6 8.8 10.5 10.7 10.8 11 11 11.1 11.2 ...
## $ Height: num [1:31] 70 65 63 72 81 83 66 75 80 75 ...
## $ Volume: num [1:31] 10.3 10.3 10.2 16.4 18.8 19.7 15.6 18.2 22.6 19.9 ...
## - attr(*, "spec")=
## .. cols(
## .. Girth = col_double(),
## .. Height = col_double(),
## .. Volume = col_double()
## .. )
## - attr(*, "problems")=<externalptr>## Girth Height Volume
## Min. : 8.30 Min. :63 Min. :10.20
## 1st Qu.:11.05 1st Qu.:72 1st Qu.:19.40
## Median :12.90 Median :76 Median :24.20
## Mean :13.25 Mean :76 Mean :30.17
## 3rd Qu.:15.25 3rd Qu.:80 3rd Qu.:37.30
## Max. :20.60 Max. :87 Max. :77.00Format
Description
This data set provides measurements of the diameter, height and volume of timber in 31 felled black cherry trees. Note that the diameter (in inches) is erroneously labelled Girth in the data. It is measured at 4 ft 6 in above the ground.
Trees dataSet
A data frame with 31 observations on 3 variables.
[,1] Girth numeric Tree diameter (rather than girth, actually) in inches [,2] Height numeric Height in ft [,3] Volume numeric Volume of timber in cubic ft
##
## Call:
## lm(formula = log(Volume) ~ log(Girth), data = trees)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.205999 -0.068702 0.001011 0.072585 0.247963
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -2.35332 0.23066 -10.20 4.18e-11 ***
## log(Girth) 2.19997 0.08983 24.49 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.115 on 29 degrees of freedom
## Multiple R-squared: 0.9539, Adjusted R-squared: 0.9523
## F-statistic: 599.7 on 1 and 29 DF, p-value: < 2.2e-16##
## Call:
## lm(formula = log(Volume) ~ log(Girth) + log(Height), data = trees)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.168561 -0.048488 0.002431 0.063637 0.129223
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -6.63162 0.79979 -8.292 5.06e-09 ***
## log(Girth) 1.98265 0.07501 26.432 < 2e-16 ***
## log(Height) 1.11712 0.20444 5.464 7.81e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.08139 on 28 degrees of freedom
## Multiple R-squared: 0.9777, Adjusted R-squared: 0.9761
## F-statistic: 613.2 on 2 and 28 DF, p-value: < 2.2e-16## Start: AIC=-152.69
## log(Volume) ~ log(Girth) + log(Height)
##
## Df Sum of Sq RSS AIC
## <none> 0.1855 -152.685
## - log(Height) 1 0.1978 0.3832 -132.185
## - log(Girth) 1 4.6275 4.8130 -53.743##
## Call:
## lm(formula = log(Volume) ~ log(Girth) + log(Height), data = trees)
##
## Coefficients:
## (Intercept) log(Girth) log(Height)
## -6.632 1.983 1.117Specify the font family with the name displayed on PLOT the fonts() output
Specify the font family with the name displayed on GGPLOT the fonts() output
Specify the font family with the name displayed on Histogram + title the fonts() output
Specify the font family with the name displayed on Histogram the fonts() output
Specify the font family with the name displayed on the fonts() output
## Loading required package: sysfonts## Loading required package: showtextdb## [1] "C:\\Windows\\Fonts"
This is a Boxplot Outliers Shown
Boxplot showing outliers
A plot Trees volumen
Year 2022 Calendar font:Magneto
## ~~ Package calendR
## Visit https://r-coder.com/ for R tutorials ~~
## R version 4.2.1 (2022-06-23 ucrt)
## Platform: x86_64-w64-mingw32/x64 (64-bit)
## Running under: Windows 10 x64 (build 22000)
##
## Matrix products: default
##
## locale:
## [1] LC_COLLATE=English_United States.utf8
## [2] LC_CTYPE=English_United States.utf8
## [3] LC_MONETARY=English_United States.utf8
## [4] LC_NUMERIC=C
## [5] LC_TIME=English_United States.utf8
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] calendR_1.1 showtext_0.9-5 showtextdb_3.0 sysfonts_0.8.8 ggplot2_3.3.6
## [6] readr_2.1.2
##
## loaded via a namespace (and not attached):
## [1] Rcpp_1.0.9 lubridate_1.8.0 assertthat_0.2.1 digest_0.6.29
## [5] utf8_1.2.2 R6_2.5.1 evaluate_0.15 highr_0.9
## [9] pillar_1.8.0 ggfun_0.0.6 yulab.utils_0.0.5 rlang_1.0.4
## [13] data.table_1.14.2 rstudioapi_0.13 jquerylib_0.1.4 magick_2.7.3
## [17] rmarkdown_2.14 labeling_0.4.2 stringr_1.4.0 bit_4.0.4
## [21] munsell_0.5.0 compiler_4.2.1 xfun_0.31 pkgconfig_2.0.3
## [25] gridGraphics_0.5-1 htmltools_0.5.3 tidyselect_1.1.2 tibble_3.1.8
## [29] bookdown_0.28 codetools_0.2-18 fansi_1.0.3 crayon_1.5.1
## [33] dplyr_1.0.9 tzdb_0.3.0 withr_2.5.0 grid_4.2.1
## [37] jsonlite_1.8.0 gtable_0.3.0 lifecycle_1.0.1 DBI_1.1.3
## [41] magrittr_2.0.3 scales_1.2.0 rmdformats_1.0.4 cli_3.3.0
## [45] stringi_1.7.8 vroom_1.5.7 cachem_1.0.6 farver_2.1.1
## [49] bslib_0.4.0 ellipsis_0.3.2 generics_0.1.3 vctrs_0.4.1
## [53] tools_4.2.1 forcats_0.5.1 gggibbous_0.1.1 bit64_4.0.5
## [57] ggplotify_0.1.0 glue_1.6.2 purrr_0.3.4 hms_1.1.1
## [61] parallel_4.2.1 fastmap_1.1.0 yaml_2.3.5 colorspace_2.0-3
## [65] ggimage_0.3.1 knitr_1.39 suncalc_0.5.0 sass_0.4.2