Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

Title produced by software

Histogram

Date of computation

Tue, 08 Oct 2013 20:12:22 -0400

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/08/t1381277563zmf4f4sj00y2gf3.htm/, Retrieved Thu, 31 Oct 2024 23:06:21 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=214342, Retrieved Thu, 31 Oct 2024 23:06:21 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

137

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Histogram] [Bad example of Hi...] [2010-09-25 09:28:23] [b98453cac15ba1066b407e146608df68]
- R P   [Histogram] [Histogram] [2013-10-08 23:50:36] [d14f74cd5aff4c2cc0304b8517f6d549]
-  M        [Histogram] [Histogram] [2013-10-09 00:12:22] [12aa97dfde985f95a295900f01959e26] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Sir Maurice George Kendall' @ kendall.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=214342&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=214342&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=214342&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Sir Maurice George Kendall' @ kendall.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[0,100[	50	13	0.093525	0.093525	0.000935
[100,200[	150	27	0.194245	0.28777	0.001942
[200,300[	250	54	0.388489	0.676259	0.003885
[300,400[	350	17	0.122302	0.798561	0.001223
[400,500[	450	13	0.093525	0.892086	0.000935
[500,600[	550	2	0.014388	0.906475	0.000144
[600,700[	650	7	0.05036	0.956835	0.000504
[700,800[	750	1	0.007194	0.964029	7.2e-05
[800,900[	850	0	0	0.964029	0
[900,1000[	950	1	0.007194	0.971223	7.2e-05
[1000,1100[	1050	1	0.007194	0.978417	7.2e-05
[1100,1200[	1150	0	0	0.978417	0
[1200,1300[	1250	0	0	0.978417	0
[1300,1400[	1350	1	0.007194	0.985612	7.2e-05
[1400,1500[	1450	0	0	0.985612	0
[1500,1600[	1550	0	0	0.985612	0
[1600,1700[	1650	0	0	0.985612	0
[1700,1800[	1750	0	0	0.985612	0
[1800,1900[	1850	0	0	0.985612	0
[1900,2000[	1950	0	0	0.985612	0
[2000,2100[	2050	0	0	0.985612	0
[2100,2200[	2150	0	0	0.985612	0
[2200,2300[	2250	0	0	0.985612	0
[2300,2400[	2350	0	0	0.985612	0
[2400,2500[	2450	0	0	0.985612	0
[2500,2600[	2550	0	0	0.985612	0
[2600,2700[	2650	0	0	0.985612	0
[2700,2800[	2750	1	0.007194	0.992806	7.2e-05
[2800,2900[	2850	0	0	0.992806	0
[2900,3000[	2950	0	0	0.992806	0
[3000,3100[	3050	0	0	0.992806	0
[3100,3200[	3150	0	0	0.992806	0
[3200,3300[	3250	0	0	0.992806	0
[3300,3400[	3350	0	0	0.992806	0
[3400,3500[	3450	0	0	0.992806	0
[3500,3600[	3550	0	0	0.992806	0
[3600,3700[	3650	0	0	0.992806	0
[3700,3800[	3750	0	0	0.992806	0
[3800,3900[	3850	0	0	0.992806	0
[3900,4000[	3950	0	0	0.992806	0
[4000,4100[	4050	0	0	0.992806	0
[4100,4200[	4150	0	0	0.992806	0
[4200,4300]	4250	1	0.007194	1	7.2e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,100[ & 50 & 13 & 0.093525 & 0.093525 & 0.000935 \tabularnewline
[100,200[ & 150 & 27 & 0.194245 & 0.28777 & 0.001942 \tabularnewline
[200,300[ & 250 & 54 & 0.388489 & 0.676259 & 0.003885 \tabularnewline
[300,400[ & 350 & 17 & 0.122302 & 0.798561 & 0.001223 \tabularnewline
[400,500[ & 450 & 13 & 0.093525 & 0.892086 & 0.000935 \tabularnewline
[500,600[ & 550 & 2 & 0.014388 & 0.906475 & 0.000144 \tabularnewline
[600,700[ & 650 & 7 & 0.05036 & 0.956835 & 0.000504 \tabularnewline
[700,800[ & 750 & 1 & 0.007194 & 0.964029 & 7.2e-05 \tabularnewline
[800,900[ & 850 & 0 & 0 & 0.964029 & 0 \tabularnewline
[900,1000[ & 950 & 1 & 0.007194 & 0.971223 & 7.2e-05 \tabularnewline
[1000,1100[ & 1050 & 1 & 0.007194 & 0.978417 & 7.2e-05 \tabularnewline
[1100,1200[ & 1150 & 0 & 0 & 0.978417 & 0 \tabularnewline
[1200,1300[ & 1250 & 0 & 0 & 0.978417 & 0 \tabularnewline
[1300,1400[ & 1350 & 1 & 0.007194 & 0.985612 & 7.2e-05 \tabularnewline
[1400,1500[ & 1450 & 0 & 0 & 0.985612 & 0 \tabularnewline
[1500,1600[ & 1550 & 0 & 0 & 0.985612 & 0 \tabularnewline
[1600,1700[ & 1650 & 0 & 0 & 0.985612 & 0 \tabularnewline
[1700,1800[ & 1750 & 0 & 0 & 0.985612 & 0 \tabularnewline
[1800,1900[ & 1850 & 0 & 0 & 0.985612 & 0 \tabularnewline
[1900,2000[ & 1950 & 0 & 0 & 0.985612 & 0 \tabularnewline
[2000,2100[ & 2050 & 0 & 0 & 0.985612 & 0 \tabularnewline
[2100,2200[ & 2150 & 0 & 0 & 0.985612 & 0 \tabularnewline
[2200,2300[ & 2250 & 0 & 0 & 0.985612 & 0 \tabularnewline
[2300,2400[ & 2350 & 0 & 0 & 0.985612 & 0 \tabularnewline
[2400,2500[ & 2450 & 0 & 0 & 0.985612 & 0 \tabularnewline
[2500,2600[ & 2550 & 0 & 0 & 0.985612 & 0 \tabularnewline
[2600,2700[ & 2650 & 0 & 0 & 0.985612 & 0 \tabularnewline
[2700,2800[ & 2750 & 1 & 0.007194 & 0.992806 & 7.2e-05 \tabularnewline
[2800,2900[ & 2850 & 0 & 0 & 0.992806 & 0 \tabularnewline
[2900,3000[ & 2950 & 0 & 0 & 0.992806 & 0 \tabularnewline
[3000,3100[ & 3050 & 0 & 0 & 0.992806 & 0 \tabularnewline
[3100,3200[ & 3150 & 0 & 0 & 0.992806 & 0 \tabularnewline
[3200,3300[ & 3250 & 0 & 0 & 0.992806 & 0 \tabularnewline
[3300,3400[ & 3350 & 0 & 0 & 0.992806 & 0 \tabularnewline
[3400,3500[ & 3450 & 0 & 0 & 0.992806 & 0 \tabularnewline
[3500,3600[ & 3550 & 0 & 0 & 0.992806 & 0 \tabularnewline
[3600,3700[ & 3650 & 0 & 0 & 0.992806 & 0 \tabularnewline
[3700,3800[ & 3750 & 0 & 0 & 0.992806 & 0 \tabularnewline
[3800,3900[ & 3850 & 0 & 0 & 0.992806 & 0 \tabularnewline
[3900,4000[ & 3950 & 0 & 0 & 0.992806 & 0 \tabularnewline
[4000,4100[ & 4050 & 0 & 0 & 0.992806 & 0 \tabularnewline
[4100,4200[ & 4150 & 0 & 0 & 0.992806 & 0 \tabularnewline
[4200,4300] & 4250 & 1 & 0.007194 & 1 & 7.2e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=214342&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][0,100[[/C][C]50[/C][C]13[/C][C]0.093525[/C][C]0.093525[/C][C]0.000935[/C][/ROW]
[ROW][C][100,200[[/C][C]150[/C][C]27[/C][C]0.194245[/C][C]0.28777[/C][C]0.001942[/C][/ROW]
[ROW][C][200,300[[/C][C]250[/C][C]54[/C][C]0.388489[/C][C]0.676259[/C][C]0.003885[/C][/ROW]
[ROW][C][300,400[[/C][C]350[/C][C]17[/C][C]0.122302[/C][C]0.798561[/C][C]0.001223[/C][/ROW]
[ROW][C][400,500[[/C][C]450[/C][C]13[/C][C]0.093525[/C][C]0.892086[/C][C]0.000935[/C][/ROW]
[ROW][C][500,600[[/C][C]550[/C][C]2[/C][C]0.014388[/C][C]0.906475[/C][C]0.000144[/C][/ROW]
[ROW][C][600,700[[/C][C]650[/C][C]7[/C][C]0.05036[/C][C]0.956835[/C][C]0.000504[/C][/ROW]
[ROW][C][700,800[[/C][C]750[/C][C]1[/C][C]0.007194[/C][C]0.964029[/C][C]7.2e-05[/C][/ROW]
[ROW][C][800,900[[/C][C]850[/C][C]0[/C][C]0[/C][C]0.964029[/C][C]0[/C][/ROW]
[ROW][C][900,1000[[/C][C]950[/C][C]1[/C][C]0.007194[/C][C]0.971223[/C][C]7.2e-05[/C][/ROW]
[ROW][C][1000,1100[[/C][C]1050[/C][C]1[/C][C]0.007194[/C][C]0.978417[/C][C]7.2e-05[/C][/ROW]
[ROW][C][1100,1200[[/C][C]1150[/C][C]0[/C][C]0[/C][C]0.978417[/C][C]0[/C][/ROW]
[ROW][C][1200,1300[[/C][C]1250[/C][C]0[/C][C]0[/C][C]0.978417[/C][C]0[/C][/ROW]
[ROW][C][1300,1400[[/C][C]1350[/C][C]1[/C][C]0.007194[/C][C]0.985612[/C][C]7.2e-05[/C][/ROW]
[ROW][C][1400,1500[[/C][C]1450[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C][1500,1600[[/C][C]1550[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C][1600,1700[[/C][C]1650[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C][1700,1800[[/C][C]1750[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C][1800,1900[[/C][C]1850[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C][1900,2000[[/C][C]1950[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C][2000,2100[[/C][C]2050[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C][2100,2200[[/C][C]2150[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C][2200,2300[[/C][C]2250[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C][2300,2400[[/C][C]2350[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C][2400,2500[[/C][C]2450[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C][2500,2600[[/C][C]2550[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C][2600,2700[[/C][C]2650[/C][C]0[/C][C]0[/C][C]0.985612[/C][C]0[/C][/ROW]
[ROW][C][2700,2800[[/C][C]2750[/C][C]1[/C][C]0.007194[/C][C]0.992806[/C][C]7.2e-05[/C][/ROW]
[ROW][C][2800,2900[[/C][C]2850[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][2900,3000[[/C][C]2950[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][3000,3100[[/C][C]3050[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][3100,3200[[/C][C]3150[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][3200,3300[[/C][C]3250[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][3300,3400[[/C][C]3350[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][3400,3500[[/C][C]3450[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][3500,3600[[/C][C]3550[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][3600,3700[[/C][C]3650[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][3700,3800[[/C][C]3750[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][3800,3900[[/C][C]3850[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][3900,4000[[/C][C]3950[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][4000,4100[[/C][C]4050[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][4100,4200[[/C][C]4150[/C][C]0[/C][C]0[/C][C]0.992806[/C][C]0[/C][/ROW]
[ROW][C][4200,4300][/C][C]4250[/C][C]1[/C][C]0.007194[/C][C]1[/C][C]7.2e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=214342&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=214342&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[0,100[	50	13	0.093525	0.093525	0.000935
[100,200[	150	27	0.194245	0.28777	0.001942
[200,300[	250	54	0.388489	0.676259	0.003885
[300,400[	350	17	0.122302	0.798561	0.001223
[400,500[	450	13	0.093525	0.892086	0.000935
[500,600[	550	2	0.014388	0.906475	0.000144
[600,700[	650	7	0.05036	0.956835	0.000504
[700,800[	750	1	0.007194	0.964029	7.2e-05
[800,900[	850	0	0	0.964029	0
[900,1000[	950	1	0.007194	0.971223	7.2e-05
[1000,1100[	1050	1	0.007194	0.978417	7.2e-05
[1100,1200[	1150	0	0	0.978417	0
[1200,1300[	1250	0	0	0.978417	0
[1300,1400[	1350	1	0.007194	0.985612	7.2e-05
[1400,1500[	1450	0	0	0.985612	0
[1500,1600[	1550	0	0	0.985612	0
[1600,1700[	1650	0	0	0.985612	0
[1700,1800[	1750	0	0	0.985612	0
[1800,1900[	1850	0	0	0.985612	0
[1900,2000[	1950	0	0	0.985612	0
[2000,2100[	2050	0	0	0.985612	0
[2100,2200[	2150	0	0	0.985612	0
[2200,2300[	2250	0	0	0.985612	0
[2300,2400[	2350	0	0	0.985612	0
[2400,2500[	2450	0	0	0.985612	0
[2500,2600[	2550	0	0	0.985612	0
[2600,2700[	2650	0	0	0.985612	0
[2700,2800[	2750	1	0.007194	0.992806	7.2e-05
[2800,2900[	2850	0	0	0.992806	0
[2900,3000[	2950	0	0	0.992806	0
[3000,3100[	3050	0	0	0.992806	0
[3100,3200[	3150	0	0	0.992806	0
[3200,3300[	3250	0	0	0.992806	0
[3300,3400[	3350	0	0	0.992806	0
[3400,3500[	3450	0	0	0.992806	0
[3500,3600[	3550	0	0	0.992806	0
[3600,3700[	3650	0	0	0.992806	0
[3700,3800[	3750	0	0	0.992806	0
[3800,3900[	3850	0	0	0.992806	0
[3900,4000[	3950	0	0	0.992806	0
[4000,4100[	4050	0	0	0.992806	0
[4100,4200[	4150	0	0	0.992806	0
[4200,4300]	4250	1	0.007194	1	7.2e-05

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 30 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 30 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;

R code (references can be found in the software module):

par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code